id	sid	tid	token	lemma	pos
ispiv-120	1	1	14th	14th	ADJ
ispiv-120	1	2	international	international	ADJ
ispiv-120	1	3	symposium	symposium	NOUN
ispiv-120	1	4	on	on	ADP
ispiv-120	1	5	particle	particle	NOUN
ispiv-120	1	6	image	image	NOUN
ispiv-120	1	7	velocimetry	velocimetry	NOUN
ispiv-120	1	8	–	–	PUNCT
ispiv-120	1	9	ispiv	ispiv	NOUN
ispiv-120	1	10	2021	2021	NUM
ispiv-120	1	11	august	august	PROPN
ispiv-120	1	12	1–5	1–5	NUM
ispiv-120	1	13	,	,	PUNCT
ispiv-120	1	14	2021	2021	NUM
ispiv-120	1	15	unsupervised	unsupervised	ADJ
ispiv-120	1	16	recurrent	recurrent	NOUN
ispiv-120	1	17	all	all	PRON
ispiv-120	1	18	-	-	PUNCT
ispiv-120	1	19	pairs	pair	NOUN
ispiv-120	1	20	field	field	NOUN
ispiv-120	1	21	transforms	transform	VERB
ispiv-120	1	22	for	for	ADP
ispiv-120	1	23	particle	particle	NOUN
ispiv-120	1	24	image	image	NOUN
ispiv-120	1	25	-	-	PUNCT
ispiv-120	1	26	velocimetry	velocimetry	NOUN
ispiv-120	1	27	c.	c.	PROPN
ispiv-120	1	28	lagemann1∗	lagemann1∗	PROPN
ispiv-120	1	29	,	,	PUNCT
ispiv-120	1	30	m.	m.	NOUN
ispiv-120	1	31	klaas1	klaas1	PROPN
ispiv-120	1	32	,	,	PUNCT
ispiv-120	1	33	w.	w.	PROPN
ispiv-120	1	34	schröder1	schröder1	PROPN
ispiv-120	1	35	1	1	NUM
ispiv-120	1	36	rwth	rwth	NOUN
ispiv-120	1	37	aachen	aachen	PROPN
ispiv-120	1	38	university	university	PROPN
ispiv-120	1	39	,	,	PUNCT
ispiv-120	1	40	chair	chair	NOUN
ispiv-120	1	41	of	of	ADP
ispiv-120	1	42	fluid	fluid	ADJ
ispiv-120	1	43	mechanics	mechanic	NOUN
ispiv-120	1	44	and	and	CCONJ
ispiv-120	1	45	institute	institute	PROPN
ispiv-120	1	46	of	of	ADP
ispiv-120	1	47	aerodynamics	aerodynamics	PROPN
ispiv-120	1	48	,	,	PUNCT
ispiv-120	1	49	aachen	aachen	PROPN
ispiv-120	1	50	,	,	PUNCT
ispiv-120	1	51	germany	germany	PROPN
ispiv-120	1	52	∗	∗	NOUN
ispiv-120	1	53	c.lagemann@aia.rwth-aachen.de	c.lagemann@aia.rwth-aachen.de	NUM
ispiv-120	1	54	abstract	abstract	ADJ
ispiv-120	1	55	convolutional	convolutional	ADJ
ispiv-120	1	56	neural	neural	ADJ
ispiv-120	1	57	networks	network	NOUN
ispiv-120	1	58	have	have	AUX
ispiv-120	1	59	been	be	AUX
ispiv-120	1	60	successfully	successfully	ADV
ispiv-120	1	61	used	use	VERB
ispiv-120	1	62	in	in	ADP
ispiv-120	1	63	a	a	DET
ispiv-120	1	64	variety	variety	NOUN
ispiv-120	1	65	of	of	ADP
ispiv-120	1	66	tasks	task	NOUN
ispiv-120	1	67	and	and	CCONJ
ispiv-120	1	68	recently	recently	ADV
ispiv-120	1	69	have	have	AUX
ispiv-120	1	70	been	be	AUX
ispiv-120	1	71	adapted	adapt	VERB
ispiv-120	1	72	to	to	PART
ispiv-120	1	73	improve	improve	VERB
ispiv-120	1	74	processing	processing	NOUN
ispiv-120	1	75	steps	step	NOUN
ispiv-120	1	76	in	in	ADP
ispiv-120	1	77	particle	particle	NOUN
ispiv-120	1	78	-	-	PUNCT
ispiv-120	1	79	image	image	NOUN
ispiv-120	1	80	velocimetry	velocimetry	NOUN
ispiv-120	1	81	(	(	PUNCT
ispiv-120	1	82	piv	piv	NOUN
ispiv-120	1	83	)	)	PUNCT
ispiv-120	1	84	.	.	PUNCT
ispiv-120	2	1	recurrent	recurrent	VERB
ispiv-120	2	2	all	all	PRON
ispiv-120	2	3	-	-	PUNCT
ispiv-120	2	4	pairs	pair	NOUN
ispiv-120	2	5	fields	field	NOUN
ispiv-120	2	6	transforms	transform	VERB
ispiv-120	2	7	(	(	PUNCT
ispiv-120	2	8	raft	raft	NOUN
ispiv-120	2	9	)	)	PUNCT
ispiv-120	2	10	as	as	ADP
ispiv-120	2	11	an	an	DET
ispiv-120	2	12	optical	optical	ADJ
ispiv-120	2	13	flow	flow	NOUN
ispiv-120	2	14	estimation	estimation	NOUN
ispiv-120	2	15	backbone	backbone	NOUN
ispiv-120	2	16	achieve	achieve	VERB
ispiv-120	2	17	a	a	DET
ispiv-120	2	18	new	new	ADJ
ispiv-120	2	19	state	state	NOUN
ispiv-120	2	20	-	-	PUNCT
ispiv-120	2	21	of	of	ADP
ispiv-120	2	22	-	-	PUNCT
ispiv-120	2	23	the	the	DET
ispiv-120	2	24	-	-	PUNCT
ispiv-120	2	25	art	art	NOUN
ispiv-120	2	26	accuracy	accuracy	NOUN
ispiv-120	2	27	on	on	ADP
ispiv-120	2	28	public	public	ADJ
ispiv-120	2	29	synthetic	synthetic	ADJ
ispiv-120	2	30	piv	piv	NOUN
ispiv-120	2	31	datasets	dataset	NOUN
ispiv-120	2	32	,	,	PUNCT
ispiv-120	2	33	generalize	generalize	VERB
ispiv-120	2	34	well	well	ADV
ispiv-120	2	35	to	to	ADP
ispiv-120	2	36	unknown	unknown	ADJ
ispiv-120	2	37	real	real	ADJ
ispiv-120	2	38	-	-	PUNCT
ispiv-120	2	39	world	world	NOUN
ispiv-120	2	40	experimental	experimental	ADJ
ispiv-120	2	41	data	datum	NOUN
ispiv-120	2	42	,	,	PUNCT
ispiv-120	2	43	and	and	CCONJ
ispiv-120	2	44	allow	allow	VERB
ispiv-120	2	45	a	a	DET
ispiv-120	2	46	significantly	significantly	ADV
ispiv-120	2	47	higher	high	ADJ
ispiv-120	2	48	spatial	spatial	ADJ
ispiv-120	2	49	resolution	resolution	NOUN
ispiv-120	2	50	compared	compare	VERB
ispiv-120	2	51	to	to	ADP
ispiv-120	2	52	state	state	NOUN
ispiv-120	2	53	-	-	PUNCT
ispiv-120	2	54	of	of	ADP
ispiv-120	2	55	-	-	PUNCT
ispiv-120	2	56	the	the	DET
ispiv-120	2	57	-	-	PUNCT
ispiv-120	2	58	art	art	NOUN
ispiv-120	2	59	piv	piv	NOUN
ispiv-120	2	60	algorithms	algorithm	NOUN
ispiv-120	2	61	based	base	VERB
ispiv-120	2	62	on	on	ADP
ispiv-120	2	63	cross	cross	ADJ
ispiv-120	2	64	-	-	ADJ
ispiv-120	2	65	correlation	correlation	ADJ
ispiv-120	2	66	methods	method	NOUN
ispiv-120	2	67	.	.	PUNCT
ispiv-120	3	1	however	however	ADV
ispiv-120	3	2	,	,	PUNCT
ispiv-120	3	3	the	the	DET
ispiv-120	3	4	huge	huge	ADJ
ispiv-120	3	5	diversity	diversity	NOUN
ispiv-120	3	6	in	in	ADP
ispiv-120	3	7	dynamic	dynamic	ADJ
ispiv-120	3	8	flows	flow	NOUN
ispiv-120	3	9	and	and	CCONJ
ispiv-120	3	10	varying	vary	VERB
ispiv-120	3	11	particle	particle	NOUN
ispiv-120	3	12	image	image	NOUN
ispiv-120	3	13	conditions	condition	NOUN
ispiv-120	3	14	require	require	VERB
ispiv-120	3	15	piv	piv	NOUN
ispiv-120	3	16	processing	processing	NOUN
ispiv-120	3	17	schemes	scheme	NOUN
ispiv-120	3	18	to	to	PART
ispiv-120	3	19	have	have	VERB
ispiv-120	3	20	high	high	ADJ
ispiv-120	3	21	generalization	generalization	NOUN
ispiv-120	3	22	capabilities	capability	NOUN
ispiv-120	3	23	to	to	ADP
ispiv-120	3	24	unseen	unseen	ADJ
ispiv-120	3	25	flow	flow	NOUN
ispiv-120	3	26	and	and	CCONJ
ispiv-120	3	27	lighting	lighting	NOUN
ispiv-120	3	28	conditions	condition	NOUN
ispiv-120	3	29	.	.	PUNCT
ispiv-120	4	1	if	if	SCONJ
ispiv-120	4	2	these	these	DET
ispiv-120	4	3	conditions	condition	NOUN
ispiv-120	4	4	vary	vary	VERB
ispiv-120	4	5	strongly	strongly	ADV
ispiv-120	4	6	compared	compare	VERB
ispiv-120	4	7	to	to	ADP
ispiv-120	4	8	the	the	DET
ispiv-120	4	9	synthetic	synthetic	ADJ
ispiv-120	4	10	training	training	NOUN
ispiv-120	4	11	data	datum	NOUN
ispiv-120	4	12	,	,	PUNCT
ispiv-120	4	13	the	the	DET
ispiv-120	4	14	performance	performance	NOUN
ispiv-120	4	15	of	of	ADP
ispiv-120	4	16	fully	fully	ADV
ispiv-120	4	17	supervised	supervised	ADJ
ispiv-120	4	18	learning	learning	NOUN
ispiv-120	4	19	based	base	VERB
ispiv-120	4	20	piv	piv	NOUN
ispiv-120	4	21	tools	tool	NOUN
ispiv-120	4	22	might	might	AUX
ispiv-120	4	23	degrade	degrade	VERB
ispiv-120	4	24	.	.	PUNCT
ispiv-120	5	1	to	to	PART
ispiv-120	5	2	tackle	tackle	VERB
ispiv-120	5	3	these	these	DET
ispiv-120	5	4	issues	issue	NOUN
ispiv-120	5	5	,	,	PUNCT
ispiv-120	5	6	our	our	PRON
ispiv-120	5	7	training	training	NOUN
ispiv-120	5	8	procedure	procedure	NOUN
ispiv-120	5	9	is	be	AUX
ispiv-120	5	10	augmented	augment	VERB
ispiv-120	5	11	by	by	ADP
ispiv-120	5	12	an	an	DET
ispiv-120	5	13	unsupervised	unsupervised	ADJ
ispiv-120	5	14	learning	learning	NOUN
ispiv-120	5	15	paradigm	paradigm	NOUN
ispiv-120	5	16	which	which	PRON
ispiv-120	5	17	remedy	remedy	VERB
ispiv-120	5	18	the	the	DET
ispiv-120	5	19	need	need	NOUN
ispiv-120	5	20	of	of	ADP
ispiv-120	5	21	a	a	DET
ispiv-120	5	22	general	general	ADJ
ispiv-120	5	23	synthetic	synthetic	ADJ
ispiv-120	5	24	dataset	dataset	NOUN
ispiv-120	5	25	and	and	CCONJ
ispiv-120	5	26	theoretically	theoretically	ADV
ispiv-120	5	27	boosts	boost	VERB
ispiv-120	5	28	the	the	DET
ispiv-120	5	29	inference	inference	NOUN
ispiv-120	5	30	capability	capability	NOUN
ispiv-120	5	31	of	of	ADP
ispiv-120	5	32	a	a	DET
ispiv-120	5	33	deep	deep	ADJ
ispiv-120	5	34	learning	learning	NOUN
ispiv-120	5	35	model	model	NOUN
ispiv-120	5	36	in	in	ADP
ispiv-120	5	37	a	a	DET
ispiv-120	5	38	way	way	NOUN
ispiv-120	5	39	being	be	AUX
ispiv-120	5	40	more	more	ADV
ispiv-120	5	41	relevant	relevant	ADJ
ispiv-120	5	42	to	to	ADP
ispiv-120	5	43	challenging	challenge	VERB
ispiv-120	5	44	real	real	ADJ
ispiv-120	5	45	-	-	PUNCT
ispiv-120	5	46	world	world	NOUN
ispiv-120	5	47	experimental	experimental	ADJ
ispiv-120	5	48	data	datum	NOUN
ispiv-120	5	49	.	.	PUNCT
ispiv-120	6	1	therefore	therefore	ADV
ispiv-120	6	2	,	,	PUNCT
ispiv-120	6	3	we	we	PRON
ispiv-120	6	4	propose	propose	VERB
ispiv-120	6	5	uraft	uraft	NOUN
ispiv-120	6	6	-	-	PUNCT
ispiv-120	6	7	piv	piv	NOUN
ispiv-120	6	8	,	,	PUNCT
ispiv-120	6	9	an	an	DET
ispiv-120	6	10	unsupervised	unsupervised	ADJ
ispiv-120	6	11	deep	deep	ADJ
ispiv-120	6	12	neural	neural	ADJ
ispiv-120	6	13	network	network	NOUN
ispiv-120	6	14	architecture	architecture	NOUN
ispiv-120	6	15	for	for	ADP
ispiv-120	6	16	optical	optical	ADJ
ispiv-120	6	17	flow	flow	NOUN
ispiv-120	6	18	estimation	estimation	NOUN
ispiv-120	6	19	in	in	ADP
ispiv-120	6	20	piv	piv	NOUN
ispiv-120	6	21	applications	application	NOUN
ispiv-120	6	22	and	and	CCONJ
ispiv-120	6	23	show	show	VERB
ispiv-120	6	24	that	that	SCONJ
ispiv-120	6	25	our	our	PRON
ispiv-120	6	26	combination	combination	NOUN
ispiv-120	6	27	of	of	ADP
ispiv-120	6	28	state	state	NOUN
ispiv-120	6	29	-	-	PUNCT
ispiv-120	6	30	of	of	ADP
ispiv-120	6	31	-	-	PUNCT
ispiv-120	6	32	the	the	DET
ispiv-120	6	33	-	-	PUNCT
ispiv-120	6	34	art	art	NOUN
ispiv-120	6	35	deep	deep	ADJ
ispiv-120	6	36	learning	learn	VERB
ispiv-120	6	37	pipelines	pipeline	NOUN
ispiv-120	6	38	and	and	CCONJ
ispiv-120	6	39	unsupervised	unsupervised	ADJ
ispiv-120	6	40	learning	learning	NOUN
ispiv-120	6	41	achieves	achieve	VERB
ispiv-120	6	42	a	a	DET
ispiv-120	6	43	new	new	ADJ
ispiv-120	6	44	state	state	NOUN
ispiv-120	6	45	-	-	PUNCT
ispiv-120	6	46	of	of	ADP
ispiv-120	6	47	-	-	PUNCT
ispiv-120	6	48	the	the	DET
ispiv-120	6	49	-	-	PUNCT
ispiv-120	6	50	art	art	NOUN
ispiv-120	6	51	accuracy	accuracy	NOUN
ispiv-120	6	52	for	for	ADP
ispiv-120	6	53	unsupervised	unsupervised	ADJ
ispiv-120	6	54	piv	piv	NOUN
ispiv-120	6	55	networks	network	NOUN
ispiv-120	6	56	while	while	SCONJ
ispiv-120	6	57	performing	perform	VERB
ispiv-120	6	58	similar	similar	ADJ
ispiv-120	6	59	to	to	ADP
ispiv-120	6	60	supervisedly	supervisedly	ADV
ispiv-120	6	61	trained	train	VERB
ispiv-120	6	62	liteflownet	liteflownet	NOUN
ispiv-120	6	63	based	base	VERB
ispiv-120	6	64	competitors	competitor	NOUN
ispiv-120	6	65	.	.	PUNCT
ispiv-120	7	1	furthermore	furthermore	ADV
ispiv-120	7	2	,	,	PUNCT
ispiv-120	7	3	we	we	PRON
ispiv-120	7	4	show	show	VERB
ispiv-120	7	5	that	that	SCONJ
ispiv-120	7	6	uraft	uraft	NOUN
ispiv-120	7	7	-	-	PUNCT
ispiv-120	7	8	piv	piv	NOUN
ispiv-120	7	9	also	also	ADV
ispiv-120	7	10	performs	perform	VERB
ispiv-120	7	11	well	well	ADV
ispiv-120	7	12	under	under	ADP
ispiv-120	7	13	more	more	ADV
ispiv-120	7	14	challenging	challenging	ADJ
ispiv-120	7	15	flow	flow	NOUN
ispiv-120	7	16	field	field	NOUN
ispiv-120	7	17	and	and	CCONJ
ispiv-120	7	18	image	image	NOUN
ispiv-120	7	19	conditions	condition	NOUN
ispiv-120	7	20	such	such	ADJ
ispiv-120	7	21	as	as	ADP
ispiv-120	7	22	low	low	ADJ
ispiv-120	7	23	particle	particle	NOUN
ispiv-120	7	24	density	density	NOUN
ispiv-120	7	25	and	and	CCONJ
ispiv-120	7	26	changing	change	VERB
ispiv-120	7	27	light	light	ADJ
ispiv-120	7	28	conditions	condition	NOUN
ispiv-120	7	29	and	and	CCONJ
ispiv-120	7	30	demonstrate	demonstrate	VERB
ispiv-120	7	31	its	its	PRON
ispiv-120	7	32	generalization	generalization	NOUN
ispiv-120	7	33	capability	capability	NOUN
ispiv-120	7	34	based	base	VERB
ispiv-120	7	35	on	on	ADP
ispiv-120	7	36	an	an	DET
ispiv-120	7	37	outof	outof	PROPN
ispiv-120	7	38	-	-	PUNCT
ispiv-120	7	39	the	the	DET
ispiv-120	7	40	-	-	PUNCT
ispiv-120	7	41	box	box	NOUN
ispiv-120	7	42	application	application	NOUN
ispiv-120	7	43	to	to	ADP
ispiv-120	7	44	real	real	ADJ
ispiv-120	7	45	-	-	PUNCT
ispiv-120	7	46	world	world	NOUN
ispiv-120	7	47	experimental	experimental	ADJ
ispiv-120	7	48	data	datum	NOUN
ispiv-120	7	49	.	.	PUNCT
ispiv-120	8	1	our	our	PRON
ispiv-120	8	2	tests	test	NOUN
ispiv-120	8	3	also	also	ADV
ispiv-120	8	4	suggest	suggest	VERB
ispiv-120	8	5	that	that	SCONJ
ispiv-120	8	6	current	current	ADJ
ispiv-120	8	7	state	state	NOUN
ispiv-120	8	8	-	-	PUNCT
ispiv-120	8	9	of	of	ADP
ispiv-120	8	10	-	-	PUNCT
ispiv-120	8	11	the	the	DET
ispiv-120	8	12	-	-	PUNCT
ispiv-120	8	13	art	art	NOUN
ispiv-120	8	14	loss	loss	NOUN
ispiv-120	8	15	functions	function	NOUN
ispiv-120	8	16	might	might	AUX
ispiv-120	8	17	be	be	AUX
ispiv-120	8	18	a	a	DET
ispiv-120	8	19	limiting	limit	VERB
ispiv-120	8	20	factor	factor	NOUN
ispiv-120	8	21	for	for	ADP
ispiv-120	8	22	the	the	DET
ispiv-120	8	23	performance	performance	NOUN
ispiv-120	8	24	of	of	ADP
ispiv-120	8	25	unsupervised	unsupervised	ADJ
ispiv-120	8	26	optical	optical	ADJ
ispiv-120	8	27	flow	flow	NOUN
ispiv-120	8	28	estimation	estimation	NOUN
ispiv-120	8	29	.	.	PUNCT
ispiv-120	9	1	1	1	NUM
ispiv-120	9	2	introduction	introduction	NOUN
ispiv-120	9	3	particle	particle	NOUN
ispiv-120	9	4	-	-	PUNCT
ispiv-120	9	5	image	image	NOUN
ispiv-120	9	6	velocimetry	velocimetry	NOUN
ispiv-120	9	7	(	(	PUNCT
ispiv-120	9	8	piv	piv	NOUN
ispiv-120	9	9	)	)	PUNCT
ispiv-120	9	10	is	be	AUX
ispiv-120	9	11	one	one	NUM
ispiv-120	9	12	of	of	ADP
ispiv-120	9	13	the	the	DET
ispiv-120	9	14	key	key	ADJ
ispiv-120	9	15	techniques	technique	NOUN
ispiv-120	9	16	in	in	ADP
ispiv-120	9	17	modern	modern	ADJ
ispiv-120	9	18	experimental	experimental	ADJ
ispiv-120	9	19	fluid	fluid	NOUN
ispiv-120	9	20	mechanics	mechanic	NOUN
ispiv-120	9	21	used	use	VERB
ispiv-120	9	22	to	to	PART
ispiv-120	9	23	determine	determine	VERB
ispiv-120	9	24	the	the	DET
ispiv-120	9	25	velocity	velocity	NOUN
ispiv-120	9	26	components	component	NOUN
ispiv-120	9	27	of	of	ADP
ispiv-120	9	28	flow	flow	NOUN
ispiv-120	9	29	fields	field	NOUN
ispiv-120	9	30	in	in	ADP
ispiv-120	9	31	a	a	DET
ispiv-120	9	32	wide	wide	ADJ
ispiv-120	9	33	range	range	NOUN
ispiv-120	9	34	of	of	ADP
ispiv-120	9	35	complex	complex	ADJ
ispiv-120	9	36	engineering	engineering	NOUN
ispiv-120	9	37	problems	problem	NOUN
ispiv-120	9	38	.	.	PUNCT
ispiv-120	10	1	current	current	ADJ
ispiv-120	10	2	processing	processing	NOUN
ispiv-120	10	3	tools	tool	NOUN
ispiv-120	10	4	usually	usually	ADV
ispiv-120	10	5	compute	compute	VERB
ispiv-120	10	6	the	the	DET
ispiv-120	10	7	most	most	ADV
ispiv-120	10	8	probable	probable	ADJ
ispiv-120	10	9	particle	particle	NOUN
ispiv-120	10	10	displacement	displacement	NOUN
ispiv-120	10	11	of	of	ADP
ispiv-120	10	12	two	two	NUM
ispiv-120	10	13	consecutive	consecutive	ADJ
ispiv-120	10	14	particle	particle	NOUN
ispiv-120	10	15	images	image	NOUN
ispiv-120	10	16	based	base	VERB
ispiv-120	10	17	on	on	ADP
ispiv-120	10	18	the	the	DET
ispiv-120	10	19	cross	cross	NOUN
ispiv-120	10	20	-	-	NOUN
ispiv-120	10	21	correlation	correlation	NOUN
ispiv-120	10	22	between	between	ADP
ispiv-120	10	23	corresponding	correspond	VERB
ispiv-120	10	24	interrogation	interrogation	NOUN
ispiv-120	10	25	windows	window	NOUN
ispiv-120	10	26	.	.	PUNCT
ispiv-120	11	1	this	this	PRON
ispiv-120	11	2	,	,	PUNCT
ispiv-120	11	3	in	in	ADP
ispiv-120	11	4	fact	fact	NOUN
ispiv-120	11	5	,	,	PUNCT
ispiv-120	11	6	always	always	ADV
ispiv-120	11	7	yields	yield	VERB
ispiv-120	11	8	a	a	DET
ispiv-120	11	9	spatially	spatially	ADV
ispiv-120	11	10	averaged	average	VERB
ispiv-120	11	11	optical	optical	ADJ
ispiv-120	11	12	flow	flow	NOUN
ispiv-120	11	13	output	output	NOUN
ispiv-120	11	14	since	since	SCONJ
ispiv-120	11	15	a	a	DET
ispiv-120	11	16	single	single	ADJ
ispiv-120	11	17	displacement	displacement	NOUN
ispiv-120	11	18	vector	vector	NOUN
ispiv-120	11	19	is	be	AUX
ispiv-120	11	20	estimated	estimate	VERB
ispiv-120	11	21	for	for	ADP
ispiv-120	11	22	an	an	DET
ispiv-120	11	23	entire	entire	ADJ
ispiv-120	11	24	interrogation	interrogation	NOUN
ispiv-120	11	25	window	window	NOUN
ispiv-120	11	26	.	.	PUNCT
ispiv-120	12	1	state	state	NOUN
ispiv-120	12	2	-	-	PUNCT
ispiv-120	12	3	of	of	ADP
ispiv-120	12	4	-	-	PUNCT
ispiv-120	12	5	the	the	DET
ispiv-120	12	6	-	-	PUNCT
ispiv-120	12	7	art	art	NOUN
ispiv-120	12	8	algorithms	algorithm	NOUN
ispiv-120	12	9	additionally	additionally	ADV
ispiv-120	12	10	use	use	VERB
ispiv-120	12	11	a	a	DET
ispiv-120	12	12	wide	wide	ADJ
ispiv-120	12	13	range	range	NOUN
ispiv-120	12	14	of	of	ADP
ispiv-120	12	15	other	other	ADJ
ispiv-120	12	16	elements	element	NOUN
ispiv-120	12	17	including	include	VERB
ispiv-120	12	18	subpixel	subpixel	ADJ
ispiv-120	12	19	interpolation	interpolation	NOUN
ispiv-120	12	20	,	,	PUNCT
ispiv-120	12	21	multigrid	multigrid	ADJ
ispiv-120	12	22	correlation	correlation	NOUN
ispiv-120	12	23	schemes	scheme	NOUN
ispiv-120	12	24	,	,	PUNCT
ispiv-120	12	25	automatic	automatic	ADJ
ispiv-120	12	26	outlier	outlier	NOUN
ispiv-120	12	27	detection	detection	NOUN
ispiv-120	12	28	,	,	PUNCT
ispiv-120	12	29	and	and	CCONJ
ispiv-120	12	30	window	window	NOUN
ispiv-120	12	31	deformation	deformation	NOUN
ispiv-120	12	32	according	accord	VERB
ispiv-120	12	33	to	to	ADP
ispiv-120	12	34	local	local	ADJ
ispiv-120	12	35	velocity	velocity	NOUN
ispiv-120	12	36	gradients	gradient	NOUN
ispiv-120	12	37	.	.	PUNCT
ispiv-120	13	1	usually	usually	ADV
ispiv-120	13	2	,	,	PUNCT
ispiv-120	13	3	these	these	DET
ispiv-120	13	4	approaches	approach	NOUN
ispiv-120	13	5	fully	fully	ADV
ispiv-120	13	6	compensate	compensate	VERB
ispiv-120	13	7	for	for	ADP
ispiv-120	13	8	the	the	DET
ispiv-120	13	9	loss	loss	NOUN
ispiv-120	13	10	-	-	PUNCT
ispiv-120	13	11	of	of	ADP
ispiv-120	13	12	-	-	PUNCT
ispiv-120	13	13	correlation	correlation	NOUN
ispiv-120	13	14	due	due	ADP
ispiv-120	13	15	to	to	ADP
ispiv-120	13	16	in	in	ADP
ispiv-120	13	17	-	-	PUNCT
ispiv-120	13	18	plane	plane	NOUN
ispiv-120	13	19	motion	motion	NOUN
ispiv-120	13	20	if	if	SCONJ
ispiv-120	13	21	the	the	DET
ispiv-120	13	22	flow	flow	NOUN
ispiv-120	13	23	within	within	ADP
ispiv-120	13	24	the	the	DET
ispiv-120	13	25	final	final	ADJ
ispiv-120	13	26	interrogation	interrogation	NOUN
ispiv-120	13	27	window	window	NOUN
ispiv-120	13	28	is	be	AUX
ispiv-120	13	29	homogeneous	homogeneous	ADJ
ispiv-120	13	30	or	or	CCONJ
ispiv-120	13	31	linearly	linearly	ADV
ispiv-120	13	32	varying	vary	VERB
ispiv-120	13	33	.	.	PUNCT
ispiv-120	14	1	however	however	ADV
ispiv-120	14	2	,	,	PUNCT
ispiv-120	14	3	if	if	SCONJ
ispiv-120	14	4	the	the	DET
ispiv-120	14	5	displacement	displacement	NOUN
ispiv-120	14	6	is	be	AUX
ispiv-120	14	7	more	more	ADV
ispiv-120	14	8	complex	complex	ADJ
ispiv-120	14	9	due	due	ADJ
ispiv-120	14	10	to	to	ADP
ispiv-120	14	11	unresolved	unresolved	ADJ
ispiv-120	14	12	fluctuations	fluctuation	NOUN
ispiv-120	14	13	,	,	PUNCT
ispiv-120	14	14	non	non	ADJ
ispiv-120	14	15	-	-	ADJ
ispiv-120	14	16	constant	constant	ADJ
ispiv-120	14	17	velocity	velocity	NOUN
ispiv-120	14	18	gradients	gradient	NOUN
ispiv-120	14	19	,	,	PUNCT
ispiv-120	14	20	or	or	CCONJ
ispiv-120	14	21	out	out	ADV
ispiv-120	14	22	-	-	PUNCT
ispiv-120	14	23	of	of	ADP
ispiv-120	14	24	-	-	PUNCT
ispiv-120	14	25	plane	plane	NOUN
ispiv-120	14	26	displacement	displacement	NOUN
ispiv-120	14	27	,	,	PUNCT
ispiv-120	14	28	the	the	DET
ispiv-120	14	29	correlation	correlation	NOUN
ispiv-120	14	30	peak	peak	NOUN
ispiv-120	14	31	is	be	AUX
ispiv-120	14	32	broadened	broaden	VERB
ispiv-120	14	33	and	and	CCONJ
ispiv-120	14	34	its	its	PRON
ispiv-120	14	35	intensity	intensity	NOUN
ispiv-120	14	36	is	be	AUX
ispiv-120	14	37	reduced.the	reduced.the	DET
ispiv-120	14	38	estimated	estimate	VERB
ispiv-120	14	39	mean	mean	ADJ
ispiv-120	14	40	field	field	NOUN
ispiv-120	14	41	matches	match	VERB
ispiv-120	14	42	the	the	DET
ispiv-120	14	43	ground	ground	NOUN
ispiv-120	14	44	truth	truth	NOUN
ispiv-120	14	45	fairly	fairly	ADV
ispiv-120	14	46	well	well	ADV
ispiv-120	14	47	,	,	PUNCT
ispiv-120	14	48	but	but	CCONJ
ispiv-120	14	49	velocity	velocity	NOUN
ispiv-120	14	50	fluctuations	fluctuation	NOUN
ispiv-120	14	51	are	be	AUX
ispiv-120	14	52	usually	usually	ADV
ispiv-120	14	53	underestimated	underestimate	VERB
ispiv-120	14	54	.	.	PUNCT
ispiv-120	15	1	a	a	DET
ispiv-120	15	2	similar	similar	ADJ
ispiv-120	15	3	bias	bias	NOUN
ispiv-120	15	4	error	error	NOUN
ispiv-120	15	5	can	can	AUX
ispiv-120	15	6	be	be	AUX
ispiv-120	15	7	observed	observe	VERB
ispiv-120	15	8	in	in	ADP
ispiv-120	15	9	cases	case	NOUN
ispiv-120	15	10	of	of	ADP
ispiv-120	15	11	inhomogeneously	inhomogeneously	ADV
ispiv-120	15	12	distributed	distribute	VERB
ispiv-120	15	13	tracer	tracer	NOUN
ispiv-120	15	14	particles	particle	NOUN
ispiv-120	15	15	which	which	PRON
ispiv-120	15	16	is	be	AUX
ispiv-120	15	17	typical	typical	ADJ
ispiv-120	15	18	for	for	ADP
ispiv-120	15	19	near	near	ADP
ispiv-120	15	20	-	-	PUNCT
ispiv-120	15	21	wall	wall	NOUN
ispiv-120	15	22	flows	flow	NOUN
ispiv-120	15	23	.	.	PUNCT
ispiv-120	16	1	motivated	motivate	VERB
ispiv-120	16	2	by	by	ADP
ispiv-120	16	3	the	the	DET
ispiv-120	16	4	limitations	limitation	NOUN
ispiv-120	16	5	of	of	ADP
ispiv-120	16	6	current	current	ADJ
ispiv-120	16	7	,	,	PUNCT
ispiv-120	16	8	cross	cross	ADJ
ispiv-120	16	9	-	-	NOUN
ispiv-120	16	10	correlation	correlation	NOUN
ispiv-120	16	11	based	base	VERB
ispiv-120	16	12	approaches	approach	NOUN
ispiv-120	16	13	,	,	PUNCT
ispiv-120	16	14	piv	piv	NOUN
ispiv-120	16	15	analysis	analysis	NOUN
ispiv-120	16	16	based	base	VERB
ispiv-120	16	17	on	on	ADP
ispiv-120	16	18	new	new	ADJ
ispiv-120	16	19	ideas	idea	NOUN
ispiv-120	16	20	of	of	ADP
ispiv-120	16	21	deep	deep	ADJ
ispiv-120	16	22	learning	learning	NOUN
ispiv-120	16	23	in	in	ADP
ispiv-120	16	24	end	end	NOUN
ispiv-120	16	25	-	-	PUNCT
ispiv-120	16	26	to	to	ADP
ispiv-120	16	27	-	-	PUNCT
ispiv-120	16	28	end	end	NOUN
ispiv-120	16	29	optical	optical	ADJ
ispiv-120	16	30	flow	flow	NOUN
ispiv-120	16	31	applications	application	NOUN
ispiv-120	16	32	was	be	AUX
ispiv-120	16	33	proposed	propose	VERB
ispiv-120	16	34	to	to	PART
ispiv-120	16	35	effectively	effectively	ADV
ispiv-120	16	36	learn	learn	VERB
ispiv-120	16	37	dense	dense	ADJ
ispiv-120	16	38	displacement	displacement	ADJ
ispiv-120	16	39	fields	field	NOUN
ispiv-120	16	40	going	go	VERB
ispiv-120	16	41	far	far	ADV
ispiv-120	16	42	beyond	beyond	ADP
ispiv-120	16	43	the	the	DET
ispiv-120	16	44	spatial	spatial	ADJ
ispiv-120	16	45	resolution	resolution	NOUN
ispiv-120	16	46	of	of	ADP
ispiv-120	16	47	the	the	DET
ispiv-120	16	48	current	current	ADJ
ispiv-120	16	49	gold	gold	NOUN
ispiv-120	16	50	-	-	PUNCT
ispiv-120	16	51	standard	standard	NOUN
ispiv-120	16	52	.	.	PUNCT
ispiv-120	17	1	in	in	ADP
ispiv-120	17	2	contrast	contrast	NOUN
ispiv-120	17	3	to	to	ADP
ispiv-120	17	4	existing	exist	VERB
ispiv-120	17	5	methods	method	NOUN
ispiv-120	17	6	,	,	PUNCT
ispiv-120	17	7	these	these	DET
ispiv-120	17	8	approaches	approach	NOUN
ispiv-120	17	9	are	be	AUX
ispiv-120	17	10	general	general	ADJ
ispiv-120	17	11	,	,	PUNCT
ispiv-120	17	12	near	near	ADV
ispiv-120	17	13	-	-	PUNCT
ispiv-120	17	14	automated	automate	VERB
ispiv-120	17	15	,	,	PUNCT
ispiv-120	17	16	and	and	CCONJ
ispiv-120	17	17	yield	yield	VERB
ispiv-120	17	18	per	per	ADP
ispiv-120	17	19	-	-	PUNCT
ispiv-120	17	20	pixel	pixel	NOUN
ispiv-120	17	21	flow	flow	NOUN
ispiv-120	17	22	estimates	estimate	NOUN
ispiv-120	17	23	.	.	PUNCT
ispiv-120	18	1	these	these	DET
ispiv-120	18	2	methods	method	NOUN
ispiv-120	18	3	side	side	NOUN
ispiv-120	18	4	-	-	PUNCT
ispiv-120	18	5	step	step	NOUN
ispiv-120	18	6	the	the	DET
ispiv-120	18	7	problem	problem	NOUN
ispiv-120	18	8	of	of	ADP
ispiv-120	18	9	manually	manually	ADV
ispiv-120	18	10	designing	design	VERB
ispiv-120	18	11	an	an	DET
ispiv-120	18	12	analytical	analytical	ADJ
ispiv-120	18	13	pipeline	pipeline	NOUN
ispiv-120	18	14	by	by	ADP
ispiv-120	18	15	defining	define	VERB
ispiv-120	18	16	an	an	DET
ispiv-120	18	17	end	end	NOUN
ispiv-120	18	18	-	-	PUNCT
ispiv-120	18	19	to	to	ADP
ispiv-120	18	20	-	-	PUNCT
ispiv-120	18	21	end	end	NOUN
ispiv-120	18	22	network	network	NOUN
ispiv-120	18	23	whose	whose	DET
ispiv-120	18	24	output	output	NOUN
ispiv-120	18	25	is	be	AUX
ispiv-120	18	26	the	the	DET
ispiv-120	18	27	dense	dense	ADJ
ispiv-120	18	28	per	per	ADP
ispiv-120	18	29	-	-	PUNCT
ispiv-120	18	30	pixel	pixel	ADJ
ispiv-120	18	31	optical	optical	ADJ
ispiv-120	18	32	flow	flow	NOUN
ispiv-120	18	33	field	field	NOUN
ispiv-120	18	34	.	.	PUNCT
ispiv-120	19	1	thus	thus	ADV
ispiv-120	19	2	,	,	PUNCT
ispiv-120	19	3	fine	fine	ADJ
ispiv-120	19	4	flow	flow	NOUN
ispiv-120	19	5	structures	structure	NOUN
ispiv-120	19	6	can	can	AUX
ispiv-120	19	7	be	be	AUX
ispiv-120	19	8	resolved	resolve	VERB
ispiv-120	19	9	which	which	PRON
ispiv-120	19	10	alternatively	alternatively	ADV
ispiv-120	19	11	are	be	AUX
ispiv-120	19	12	smoothed	smooth	VERB
ispiv-120	19	13	due	due	ADP
ispiv-120	19	14	to	to	ADP
ispiv-120	19	15	the	the	DET
ispiv-120	19	16	spatial	spatial	ADJ
ispiv-120	19	17	averaging	average	VERB
ispiv-120	19	18	inherent	inherent	ADJ
ispiv-120	19	19	to	to	ADP
ispiv-120	19	20	traditional	traditional	ADJ
ispiv-120	19	21	cross	cross	ADJ
ispiv-120	19	22	-	-	ADJ
ispiv-120	19	23	correlation	correlation	ADJ
ispiv-120	19	24	based	base	VERB
ispiv-120	19	25	methods	method	NOUN
ispiv-120	19	26	.	.	PUNCT
ispiv-120	20	1	the	the	DET
ispiv-120	20	2	first	first	ADJ
ispiv-120	20	3	end	end	NOUN
ispiv-120	20	4	-	-	PUNCT
ispiv-120	20	5	to	to	ADP
ispiv-120	20	6	-	-	PUNCT
ispiv-120	20	7	end	end	NOUN
ispiv-120	20	8	application	application	NOUN
ispiv-120	20	9	using	use	VERB
ispiv-120	20	10	cnns	cnn	NOUN
ispiv-120	20	11	for	for	ADP
ispiv-120	20	12	piv	piv	NOUN
ispiv-120	20	13	processing	processing	NOUN
ispiv-120	20	14	was	be	AUX
ispiv-120	20	15	introduced	introduce	VERB
ispiv-120	20	16	in	in	ADP
ispiv-120	20	17	rabault	rabault	NOUN
ispiv-120	20	18	et	et	PROPN
ispiv-120	20	19	al	al	PROPN
ispiv-120	20	20	.	.	PROPN
ispiv-120	21	1	(	(	PUNCT
ispiv-120	21	2	2017	2017	NUM
ispiv-120	21	3	)	)	PUNCT
ispiv-120	21	4	.	.	PUNCT
ispiv-120	22	1	they	they	PRON
ispiv-120	22	2	trained	train	VERB
ispiv-120	22	3	different	different	ADJ
ispiv-120	22	4	shallow	shallow	ADJ
ispiv-120	22	5	convolutional	convolutional	ADJ
ispiv-120	22	6	and	and	CCONJ
ispiv-120	22	7	fully	fully	ADV
ispiv-120	22	8	connected	connected	ADJ
ispiv-120	22	9	neural	neural	ADJ
ispiv-120	22	10	networks	network	NOUN
ispiv-120	22	11	to	to	PART
ispiv-120	22	12	predict	predict	VERB
ispiv-120	22	13	the	the	DET
ispiv-120	22	14	particle	particle	NOUN
ispiv-120	22	15	displacement	displacement	NOUN
ispiv-120	22	16	of	of	ADP
ispiv-120	22	17	various	various	ADJ
ispiv-120	22	18	synthetic	synthetic	ADJ
ispiv-120	22	19	test	test	NOUN
ispiv-120	22	20	cases	case	NOUN
ispiv-120	22	21	.	.	PUNCT
ispiv-120	23	1	however	however	ADV
ispiv-120	23	2	,	,	PUNCT
ispiv-120	23	3	the	the	DET
ispiv-120	23	4	proposed	propose	VERB
ispiv-120	23	5	networks	network	NOUN
ispiv-120	23	6	were	be	AUX
ispiv-120	23	7	only	only	ADV
ispiv-120	23	8	applied	apply	VERB
ispiv-120	23	9	to	to	ADP
ispiv-120	23	10	relatively	relatively	ADV
ispiv-120	23	11	simple	simple	ADJ
ispiv-120	23	12	test	test	NOUN
ispiv-120	23	13	flows	flow	NOUN
ispiv-120	23	14	and	and	CCONJ
ispiv-120	23	15	ultimately	ultimately	ADV
ispiv-120	23	16	did	do	AUX
ispiv-120	23	17	not	not	PART
ispiv-120	23	18	achieve	achieve	VERB
ispiv-120	23	19	a	a	DET
ispiv-120	23	20	competitive	competitive	ADJ
ispiv-120	23	21	accuracy	accuracy	NOUN
ispiv-120	23	22	compared	compare	VERB
ispiv-120	23	23	to	to	PART
ispiv-120	23	24	available	available	VERB
ispiv-120	23	25	state	state	NOUN
ispiv-120	23	26	-	-	PUNCT
ispiv-120	23	27	of	of	ADP
ispiv-120	23	28	-	-	PUNCT
ispiv-120	23	29	theart	theart	NOUN
ispiv-120	23	30	piv	piv	NOUN
ispiv-120	23	31	algorithms	algorithm	NOUN
ispiv-120	23	32	.	.	PUNCT
ispiv-120	24	1	a	a	DET
ispiv-120	24	2	different	different	ADJ
ispiv-120	24	3	evaluation	evaluation	NOUN
ispiv-120	24	4	scheme	scheme	NOUN
ispiv-120	24	5	called	call	VERB
ispiv-120	24	6	piv	piv	NOUN
ispiv-120	24	7	-	-	PUNCT
ispiv-120	24	8	dcnn	dcnn	PROPN
ispiv-120	24	9	was	be	AUX
ispiv-120	24	10	proposed	propose	VERB
ispiv-120	24	11	in	in	ADP
ispiv-120	24	12	lee	lee	PROPN
ispiv-120	24	13	et	et	PROPN
ispiv-120	24	14	al	al	PROPN
ispiv-120	24	15	.	.	PROPN
ispiv-120	24	16	(	(	PUNCT
ispiv-120	24	17	2017	2017	NUM
ispiv-120	24	18	)	)	PUNCT
ispiv-120	24	19	.	.	PUNCT
ispiv-120	25	1	it	it	PRON
ispiv-120	25	2	consisted	consist	VERB
ispiv-120	25	3	of	of	ADP
ispiv-120	25	4	a	a	DET
ispiv-120	25	5	four	four	NUM
ispiv-120	25	6	-	-	PUNCT
ispiv-120	25	7	level	level	NOUN
ispiv-120	25	8	regression	regression	NOUN
ispiv-120	25	9	convolutional	convolutional	ADJ
ispiv-120	25	10	neural	neural	ADJ
ispiv-120	25	11	network	network	NOUN
ispiv-120	25	12	where	where	SCONJ
ispiv-120	25	13	each	each	DET
ispiv-120	25	14	level	level	NOUN
ispiv-120	25	15	was	be	AUX
ispiv-120	25	16	trained	train	VERB
ispiv-120	25	17	to	to	PART
ispiv-120	25	18	predict	predict	VERB
ispiv-120	25	19	a	a	DET
ispiv-120	25	20	velocity	velocity	NOUN
ispiv-120	25	21	vector	vector	NOUN
ispiv-120	25	22	from	from	ADP
ispiv-120	25	23	two	two	NUM
ispiv-120	25	24	input	input	NOUN
ispiv-120	25	25	image	image	NOUN
ispiv-120	25	26	patches	patch	NOUN
ispiv-120	25	27	.	.	PUNCT
ispiv-120	26	1	the	the	DET
ispiv-120	26	2	network	network	NOUN
ispiv-120	26	3	was	be	AUX
ispiv-120	26	4	verified	verify	VERB
ispiv-120	26	5	to	to	PART
ispiv-120	26	6	achieve	achieve	VERB
ispiv-120	26	7	similar	similar	ADJ
ispiv-120	26	8	results	result	NOUN
ispiv-120	26	9	compared	compare	VERB
ispiv-120	26	10	to	to	ADP
ispiv-120	26	11	standard	standard	ADJ
ispiv-120	26	12	piv	piv	NOUN
ispiv-120	26	13	methods	method	NOUN
ispiv-120	26	14	based	base	VERB
ispiv-120	26	15	on	on	ADP
ispiv-120	26	16	a	a	DET
ispiv-120	26	17	single	single	ADJ
ispiv-120	26	18	cross	cross	ADJ
ispiv-120	26	19	-	-	ADJ
ispiv-120	26	20	correlation	correlation	ADJ
ispiv-120	26	21	pass	pass	NOUN
ispiv-120	26	22	including	include	VERB
ispiv-120	26	23	window	window	NOUN
ispiv-120	26	24	deformation	deformation	NOUN
ispiv-120	26	25	.	.	PUNCT
ispiv-120	27	1	due	due	ADP
ispiv-120	27	2	to	to	ADP
ispiv-120	27	3	its	its	PRON
ispiv-120	27	4	stacked	stack	VERB
ispiv-120	27	5	architecture	architecture	NOUN
ispiv-120	27	6	,	,	PUNCT
ispiv-120	27	7	piv	piv	NOUN
ispiv-120	27	8	-	-	PUNCT
ispiv-120	27	9	dcnn	dcnn	PROPN
ispiv-120	27	10	suffers	suffer	VERB
ispiv-120	27	11	from	from	ADP
ispiv-120	27	12	large	large	ADJ
ispiv-120	27	13	computational	computational	ADJ
ispiv-120	27	14	cost	cost	NOUN
ispiv-120	27	15	and	and	CCONJ
ispiv-120	27	16	low	low	ADJ
ispiv-120	27	17	efficiency	efficiency	NOUN
ispiv-120	27	18	.	.	PUNCT
ispiv-120	28	1	in	in	ADP
ispiv-120	28	2	cai	cai	PROPN
ispiv-120	28	3	et	et	PROPN
ispiv-120	28	4	al	al	PROPN
ispiv-120	28	5	.	.	PROPN
ispiv-120	28	6	(	(	PUNCT
ispiv-120	28	7	2019b	2019b	NUM
ispiv-120	28	8	)	)	PUNCT
ispiv-120	28	9	a	a	DET
ispiv-120	28	10	dense	dense	ADJ
ispiv-120	28	11	particle	particle	NOUN
ispiv-120	28	12	motion	motion	NOUN
ispiv-120	28	13	estimator	estimator	NOUN
ispiv-120	28	14	was	be	AUX
ispiv-120	28	15	developed	develop	VERB
ispiv-120	28	16	,	,	PUNCT
ispiv-120	28	17	piv	piv	NOUN
ispiv-120	28	18	-	-	PUNCT
ispiv-120	28	19	flownets	flownet	NOUN
ispiv-120	28	20	,	,	PUNCT
ispiv-120	28	21	which	which	PRON
ispiv-120	28	22	was	be	AUX
ispiv-120	28	23	mainly	mainly	ADV
ispiv-120	28	24	based	base	VERB
ispiv-120	28	25	on	on	ADP
ispiv-120	28	26	flownet	flownet	NOUN
ispiv-120	28	27	,	,	PUNCT
ispiv-120	28	28	a	a	DET
ispiv-120	28	29	deep	deep	ADJ
ispiv-120	28	30	optical	optical	ADJ
ispiv-120	28	31	flow	flow	NOUN
ispiv-120	28	32	architecture	architecture	NOUN
ispiv-120	28	33	introduced	introduce	VERB
ispiv-120	28	34	in	in	ADP
ispiv-120	28	35	dosovitskiy	dosovitskiy	NOUN
ispiv-120	28	36	et	et	PROPN
ispiv-120	28	37	al	al	PROPN
ispiv-120	28	38	.	.	PROPN
ispiv-120	29	1	(	(	PUNCT
ispiv-120	29	2	2015	2015	NUM
ispiv-120	29	3	)	)	PUNCT
ispiv-120	29	4	.	.	PUNCT
ispiv-120	30	1	this	this	DET
ispiv-120	30	2	motion	motion	NOUN
ispiv-120	30	3	estimator	estimator	NOUN
ispiv-120	30	4	extracts	extract	NOUN
ispiv-120	30	5	feature	feature	NOUN
ispiv-120	30	6	maps	map	NOUN
ispiv-120	30	7	of	of	ADP
ispiv-120	30	8	particle	particle	NOUN
ispiv-120	30	9	images	image	NOUN
ispiv-120	30	10	and	and	CCONJ
ispiv-120	30	11	predicts	predict	VERB
ispiv-120	30	12	a	a	DET
ispiv-120	30	13	dense	dense	ADJ
ispiv-120	30	14	displacement	displacement	ADJ
ispiv-120	30	15	field	field	NOUN
ispiv-120	30	16	for	for	ADP
ispiv-120	30	17	synthetic	synthetic	ADJ
ispiv-120	30	18	and	and	CCONJ
ispiv-120	30	19	experimental	experimental	ADJ
ispiv-120	30	20	particle	particle	NOUN
ispiv-120	30	21	images	image	NOUN
ispiv-120	30	22	.	.	PUNCT
ispiv-120	31	1	it	it	PRON
ispiv-120	31	2	achieves	achieve	VERB
ispiv-120	31	3	a	a	DET
ispiv-120	31	4	good	good	ADJ
ispiv-120	31	5	accuracy	accuracy	NOUN
ispiv-120	31	6	with	with	ADP
ispiv-120	31	7	a	a	DET
ispiv-120	31	8	higher	high	ADJ
ispiv-120	31	9	spatial	spatial	ADJ
ispiv-120	31	10	resolution	resolution	NOUN
ispiv-120	31	11	compared	compare	VERB
ispiv-120	31	12	to	to	ADP
ispiv-120	31	13	standard	standard	ADJ
ispiv-120	31	14	correlation	correlation	NOUN
ispiv-120	31	15	-	-	PUNCT
ispiv-120	31	16	based	base	VERB
ispiv-120	31	17	piv	piv	NOUN
ispiv-120	31	18	algorithms	algorithm	NOUN
ispiv-120	31	19	.	.	PUNCT
ispiv-120	32	1	follow	follow	VERB
ispiv-120	32	2	-	-	PUNCT
ispiv-120	32	3	up	up	ADP
ispiv-120	32	4	work	work	NOUN
ispiv-120	32	5	adopted	adopt	VERB
ispiv-120	32	6	an	an	DET
ispiv-120	32	7	advanced	advanced	ADJ
ispiv-120	32	8	liteflownet	liteflownet	NOUN
ispiv-120	32	9	architecture	architecture	NOUN
ispiv-120	32	10	proposed	propose	VERB
ispiv-120	32	11	in	in	ADP
ispiv-120	32	12	hui	hui	PROPN
ispiv-120	32	13	et	et	PROPN
ispiv-120	32	14	al	al	PROPN
ispiv-120	32	15	.	.	PROPN
ispiv-120	33	1	(	(	PUNCT
ispiv-120	33	2	2018	2018	NUM
ispiv-120	33	3	)	)	PUNCT
ispiv-120	33	4	which	which	PRON
ispiv-120	33	5	allowed	allow	VERB
ispiv-120	33	6	to	to	PART
ispiv-120	33	7	significantly	significantly	ADV
ispiv-120	33	8	improve	improve	VERB
ispiv-120	33	9	the	the	DET
ispiv-120	33	10	accuracy	accuracy	NOUN
ispiv-120	33	11	.	.	PUNCT
ispiv-120	34	1	recently	recently	ADV
ispiv-120	34	2	,	,	PUNCT
ispiv-120	34	3	a	a	DET
ispiv-120	34	4	new	new	ADJ
ispiv-120	34	5	piv	piv	NOUN
ispiv-120	34	6	processing	processing	NOUN
ispiv-120	34	7	network	network	NOUN
ispiv-120	34	8	called	call	VERB
ispiv-120	34	9	raft	raft	NOUN
ispiv-120	34	10	-	-	PUNCT
ispiv-120	34	11	piv	piv	NOUN
ispiv-120	34	12	was	be	AUX
ispiv-120	34	13	presented	present	VERB
ispiv-120	34	14	in	in	ADP
ispiv-120	34	15	lagemann	lagemann	PROPN
ispiv-120	34	16	et	et	PROPN
ispiv-120	34	17	al	al	PROPN
ispiv-120	34	18	.	.	PROPN
ispiv-120	35	1	(	(	PUNCT
ispiv-120	35	2	2021	2021	NUM
ispiv-120	35	3	)	)	PUNCT
ispiv-120	35	4	outperforming	outperform	VERB
ispiv-120	35	5	existing	exist	VERB
ispiv-120	35	6	neural	neural	ADJ
ispiv-120	35	7	based	base	VERB
ispiv-120	35	8	piv	piv	NOUN
ispiv-120	35	9	methods	method	NOUN
ispiv-120	35	10	significantly	significantly	ADV
ispiv-120	35	11	.	.	PUNCT
ispiv-120	36	1	the	the	DET
ispiv-120	36	2	underpinning	underpinning	ADJ
ispiv-120	36	3	optical	optical	ADJ
ispiv-120	36	4	flow	flow	NOUN
ispiv-120	36	5	backbone	backbone	NOUN
ispiv-120	36	6	of	of	ADP
ispiv-120	36	7	this	this	DET
ispiv-120	36	8	approach	approach	NOUN
ispiv-120	36	9	are	be	AUX
ispiv-120	36	10	recurrent	recurrent	ADJ
ispiv-120	36	11	all	all	PRON
ispiv-120	36	12	-	-	PUNCT
ispiv-120	36	13	pairs	pair	NOUN
ispiv-120	36	14	field	field	NOUN
ispiv-120	36	15	transforms	transform	VERB
ispiv-120	36	16	(	(	PUNCT
ispiv-120	36	17	raft	raft	NOUN
ispiv-120	36	18	)	)	PUNCT
ispiv-120	36	19	proposed	propose	VERB
ispiv-120	36	20	in	in	ADP
ispiv-120	36	21	teed	teed	NOUN
ispiv-120	36	22	and	and	CCONJ
ispiv-120	36	23	deng	deng	PROPN
ispiv-120	36	24	(	(	PUNCT
ispiv-120	36	25	2020	2020	NUM
ispiv-120	36	26	)	)	PUNCT
ispiv-120	36	27	.	.	PUNCT
ispiv-120	37	1	raft	raft	NOUN
ispiv-120	37	2	differs	differ	VERB
ispiv-120	37	3	from	from	ADP
ispiv-120	37	4	other	other	ADJ
ispiv-120	37	5	optical	optical	ADJ
ispiv-120	37	6	flow	flow	NOUN
ispiv-120	37	7	networks	network	NOUN
ispiv-120	37	8	in	in	ADP
ispiv-120	37	9	that	that	SCONJ
ispiv-120	37	10	it	it	PRON
ispiv-120	37	11	operates	operate	VERB
ispiv-120	37	12	at	at	ADP
ispiv-120	37	13	a	a	DET
ispiv-120	37	14	single	single	ADJ
ispiv-120	37	15	resolution	resolution	NOUN
ispiv-120	37	16	using	use	VERB
ispiv-120	37	17	a	a	DET
ispiv-120	37	18	large	large	ADJ
ispiv-120	37	19	number	number	NOUN
ispiv-120	37	20	of	of	ADP
ispiv-120	37	21	lightweight	lightweight	ADJ
ispiv-120	37	22	,	,	PUNCT
ispiv-120	37	23	recurrent	recurrent	ADJ
ispiv-120	37	24	update	update	NOUN
ispiv-120	37	25	operators	operator	NOUN
ispiv-120	37	26	.	.	PUNCT
ispiv-120	38	1	first	first	ADJ
ispiv-120	38	2	empirical	empirical	ADJ
ispiv-120	38	3	results	result	NOUN
ispiv-120	38	4	demonstrate	demonstrate	VERB
ispiv-120	38	5	clear	clear	ADJ
ispiv-120	38	6	improvements	improvement	NOUN
ispiv-120	38	7	of	of	ADP
ispiv-120	38	8	raftpiv	raftpiv	NOUN
ispiv-120	38	9	on	on	ADP
ispiv-120	38	10	challenging	challenge	VERB
ispiv-120	38	11	synthetic	synthetic	ADJ
ispiv-120	38	12	benchmark	benchmark	NOUN
ispiv-120	38	13	and	and	CCONJ
ispiv-120	38	14	experimental	experimental	ADJ
ispiv-120	38	15	examples	example	NOUN
ispiv-120	38	16	,	,	PUNCT
ispiv-120	38	17	relative	relative	ADJ
ispiv-120	38	18	to	to	ADP
ispiv-120	38	19	both	both	CCONJ
ispiv-120	38	20	classical	classical	ADJ
ispiv-120	38	21	approaches	approach	NOUN
ispiv-120	38	22	and	and	CCONJ
ispiv-120	38	23	existing	exist	VERB
ispiv-120	38	24	optical	optical	ADJ
ispiv-120	38	25	flow	flow	NOUN
ispiv-120	38	26	learners	learner	NOUN
ispiv-120	38	27	.	.	PUNCT
ispiv-120	39	1	all	all	DET
ispiv-120	39	2	these	these	DET
ispiv-120	39	3	approaches	approach	NOUN
ispiv-120	39	4	share	share	VERB
ispiv-120	39	5	the	the	DET
ispiv-120	39	6	main	main	ADJ
ispiv-120	39	7	idea	idea	NOUN
ispiv-120	39	8	of	of	ADP
ispiv-120	39	9	using	use	VERB
ispiv-120	39	10	supervised	supervised	ADJ
ispiv-120	39	11	training	training	NOUN
ispiv-120	39	12	on	on	ADP
ispiv-120	39	13	labeled	label	VERB
ispiv-120	39	14	synthetic	synthetic	ADJ
ispiv-120	39	15	piv	piv	NOUN
ispiv-120	39	16	images	image	NOUN
ispiv-120	39	17	.	.	PUNCT
ispiv-120	40	1	however	however	ADV
ispiv-120	40	2	,	,	PUNCT
ispiv-120	40	3	supervised	supervise	VERB
ispiv-120	40	4	learning	learning	NOUN
ispiv-120	40	5	of	of	ADP
ispiv-120	40	6	robust	robust	ADJ
ispiv-120	40	7	optical	optical	ADJ
ispiv-120	40	8	flow	flow	NOUN
ispiv-120	40	9	estimation	estimation	NOUN
ispiv-120	40	10	requires	require	VERB
ispiv-120	40	11	a	a	DET
ispiv-120	40	12	sufficiently	sufficiently	ADV
ispiv-120	40	13	large	large	ADJ
ispiv-120	40	14	dataset	dataset	NOUN
ispiv-120	40	15	of	of	ADP
ispiv-120	40	16	training	training	NOUN
ispiv-120	40	17	images	image	NOUN
ispiv-120	40	18	alongside	alongside	ADP
ispiv-120	40	19	ground	ground	NOUN
ispiv-120	40	20	truth	truth	NOUN
ispiv-120	40	21	optical	optical	ADJ
ispiv-120	40	22	flow	flow	NOUN
ispiv-120	40	23	information	information	NOUN
ispiv-120	40	24	.	.	PUNCT
ispiv-120	41	1	the	the	DET
ispiv-120	41	2	computation	computation	NOUN
ispiv-120	41	3	of	of	ADP
ispiv-120	41	4	reliable	reliable	ADJ
ispiv-120	41	5	ground	ground	NOUN
ispiv-120	41	6	truth	truth	NOUN
ispiv-120	41	7	data	datum	NOUN
ispiv-120	41	8	for	for	ADP
ispiv-120	41	9	real	real	ADJ
ispiv-120	41	10	image	image	NOUN
ispiv-120	41	11	sequences	sequence	NOUN
ispiv-120	41	12	within	within	ADP
ispiv-120	41	13	a	a	DET
ispiv-120	41	14	reasonable	reasonable	ADJ
ispiv-120	41	15	time	time	NOUN
ispiv-120	41	16	is	be	AUX
ispiv-120	41	17	almost	almost	ADV
ispiv-120	41	18	impossible	impossible	ADJ
ispiv-120	41	19	yielding	yield	VERB
ispiv-120	41	20	invevitably	invevitably	ADV
ispiv-120	41	21	the	the	DET
ispiv-120	41	22	generation	generation	NOUN
ispiv-120	41	23	of	of	ADP
ispiv-120	41	24	synthetic	synthetic	ADJ
ispiv-120	41	25	datasets	dataset	NOUN
ispiv-120	41	26	.	.	PUNCT
ispiv-120	42	1	however	however	ADV
ispiv-120	42	2	,	,	PUNCT
ispiv-120	42	3	the	the	DET
ispiv-120	42	4	huge	huge	ADJ
ispiv-120	42	5	diversity	diversity	NOUN
ispiv-120	42	6	in	in	ADP
ispiv-120	42	7	fluid	fluid	ADJ
ispiv-120	42	8	flows	flow	NOUN
ispiv-120	42	9	and	and	CCONJ
ispiv-120	42	10	varying	vary	VERB
ispiv-120	42	11	particle	particle	NOUN
ispiv-120	42	12	image	image	NOUN
ispiv-120	42	13	conditions	condition	NOUN
ispiv-120	42	14	in	in	ADP
ispiv-120	42	15	experimental	experimental	ADJ
ispiv-120	42	16	environments	environment	NOUN
ispiv-120	42	17	probably	probably	ADV
ispiv-120	42	18	outmatch	outmatch	VERB
ispiv-120	42	19	the	the	DET
ispiv-120	42	20	data	data	NOUN
ispiv-120	42	21	distribution	distribution	NOUN
ispiv-120	42	22	which	which	PRON
ispiv-120	42	23	can	can	AUX
ispiv-120	42	24	be	be	AUX
ispiv-120	42	25	covered	cover	VERB
ispiv-120	42	26	by	by	ADP
ispiv-120	42	27	artificially	artificially	ADV
ispiv-120	42	28	rendered	render	VERB
ispiv-120	42	29	piv	piv	NOUN
ispiv-120	42	30	images	image	NOUN
ispiv-120	42	31	resulting	result	VERB
ispiv-120	42	32	in	in	ADP
ispiv-120	42	33	an	an	DET
ispiv-120	42	34	inherent	inherent	ADJ
ispiv-120	42	35	distribution	distribution	NOUN
ispiv-120	42	36	mismatch	mismatch	NOUN
ispiv-120	42	37	between	between	ADP
ispiv-120	42	38	training	training	NOUN
ispiv-120	42	39	and	and	CCONJ
ispiv-120	42	40	test	test	NOUN
ispiv-120	42	41	time	time	NOUN
ispiv-120	42	42	domain	domain	NOUN
ispiv-120	42	43	.	.	PUNCT
ispiv-120	43	1	one	one	NUM
ispiv-120	43	2	potential	potential	ADJ
ispiv-120	43	3	solution	solution	NOUN
ispiv-120	43	4	to	to	PART
ispiv-120	43	5	tackle	tackle	VERB
ispiv-120	43	6	this	this	DET
ispiv-120	43	7	mismatch	mismatch	NOUN
ispiv-120	43	8	is	be	AUX
ispiv-120	43	9	the	the	DET
ispiv-120	43	10	application	application	NOUN
ispiv-120	43	11	of	of	ADP
ispiv-120	43	12	an	an	DET
ispiv-120	43	13	unsupervised	unsupervised	ADJ
ispiv-120	43	14	loss	loss	NOUN
ispiv-120	43	15	objective	objective	NOUN
ispiv-120	43	16	.	.	PUNCT
ispiv-120	44	1	in	in	ADP
ispiv-120	44	2	general	general	ADJ
ispiv-120	44	3	,	,	PUNCT
ispiv-120	44	4	unsupervised	unsupervised	ADJ
ispiv-120	44	5	learning	learning	NOUN
ispiv-120	44	6	paradigms	paradigm	NOUN
ispiv-120	44	7	have	have	VERB
ispiv-120	44	8	a	a	DET
ispiv-120	44	9	major	major	ADJ
ispiv-120	44	10	advantage	advantage	NOUN
ispiv-120	44	11	since	since	SCONJ
ispiv-120	44	12	the	the	DET
ispiv-120	44	13	loss	loss	NOUN
ispiv-120	44	14	objective	objective	NOUN
ispiv-120	44	15	is	be	AUX
ispiv-120	44	16	purely	purely	ADV
ispiv-120	44	17	based	base	VERB
ispiv-120	44	18	on	on	ADP
ispiv-120	44	19	geometric	geometric	ADJ
ispiv-120	44	20	penalty	penalty	NOUN
ispiv-120	44	21	terms	term	NOUN
ispiv-120	44	22	and	and	CCONJ
ispiv-120	44	23	hence	hence	ADV
ispiv-120	44	24	,	,	PUNCT
ispiv-120	44	25	no	no	DET
ispiv-120	44	26	ground	ground	NOUN
ispiv-120	44	27	-	-	PUNCT
ispiv-120	44	28	truth	truth	NOUN
ispiv-120	44	29	is	be	AUX
ispiv-120	44	30	required	require	VERB
ispiv-120	44	31	.	.	PUNCT
ispiv-120	45	1	as	as	ADP
ispiv-120	45	2	a	a	DET
ispiv-120	45	3	consequence	consequence	NOUN
ispiv-120	45	4	,	,	PUNCT
ispiv-120	45	5	unsupervised	unsupervised	ADJ
ispiv-120	45	6	networks	network	NOUN
ispiv-120	45	7	can	can	AUX
ispiv-120	45	8	be	be	AUX
ispiv-120	45	9	trained	train	VERB
ispiv-120	45	10	directly	directly	ADV
ispiv-120	45	11	on	on	ADP
ispiv-120	45	12	real	real	ADJ
ispiv-120	45	13	experimental	experimental	ADJ
ispiv-120	45	14	data	datum	NOUN
ispiv-120	45	15	and	and	CCONJ
ispiv-120	45	16	therefore	therefore	ADV
ispiv-120	45	17	,	,	PUNCT
ispiv-120	45	18	might	might	AUX
ispiv-120	45	19	remedy	remedy	VERB
ispiv-120	45	20	the	the	DET
ispiv-120	45	21	need	need	NOUN
ispiv-120	45	22	of	of	ADP
ispiv-120	45	23	a	a	DET
ispiv-120	45	24	general	general	ADJ
ispiv-120	45	25	synthetic	synthetic	NOUN
ispiv-120	45	26	dataset	dataset	NOUN
ispiv-120	45	27	while	while	SCONJ
ispiv-120	45	28	boosting	boost	VERB
ispiv-120	45	29	the	the	DET
ispiv-120	45	30	inference	inference	NOUN
ispiv-120	45	31	capability	capability	NOUN
ispiv-120	45	32	of	of	ADP
ispiv-120	45	33	a	a	DET
ispiv-120	45	34	deep	deep	ADJ
ispiv-120	45	35	learning	learning	NOUN
ispiv-120	45	36	model	model	NOUN
ispiv-120	45	37	such	such	ADJ
ispiv-120	45	38	that	that	SCONJ
ispiv-120	45	39	the	the	DET
ispiv-120	45	40	neural	neural	ADJ
ispiv-120	45	41	method	method	NOUN
ispiv-120	45	42	can	can	AUX
ispiv-120	45	43	deal	deal	VERB
ispiv-120	45	44	with	with	ADP
ispiv-120	45	45	arbitrary	arbitrary	ADJ
ispiv-120	45	46	challenging	challenging	ADJ
ispiv-120	45	47	real	real	ADJ
ispiv-120	45	48	-	-	PUNCT
ispiv-120	45	49	world	world	NOUN
ispiv-120	45	50	experimental	experimental	ADJ
ispiv-120	45	51	data	datum	NOUN
ispiv-120	45	52	.	.	PUNCT
ispiv-120	46	1	first	first	ADV
ispiv-120	46	2	,	,	PUNCT
ispiv-120	46	3	zhang	zhang	PROPN
ispiv-120	46	4	and	and	CCONJ
ispiv-120	46	5	piggott	piggott	PROPN
ispiv-120	46	6	(	(	PUNCT
ispiv-120	46	7	2020	2020	NUM
ispiv-120	46	8	)	)	PUNCT
ispiv-120	46	9	exploited	exploit	VERB
ispiv-120	46	10	the	the	DET
ispiv-120	46	11	unsupervised	unsupervised	ADJ
ispiv-120	46	12	loss	loss	NOUN
ispiv-120	46	13	formulation	formulation	NOUN
ispiv-120	46	14	of	of	ADP
ispiv-120	46	15	meister	meister	PROPN
ispiv-120	46	16	et	et	PROPN
ispiv-120	46	17	al	al	PROPN
ispiv-120	46	18	.	.	PROPN
ispiv-120	47	1	(	(	PUNCT
ispiv-120	47	2	2017	2017	NUM
ispiv-120	47	3	)	)	PUNCT
ispiv-120	48	1	and	and	CCONJ
ispiv-120	48	2	extended	extend	VERB
ispiv-120	48	3	their	their	PRON
ispiv-120	48	4	unsupervised	unsupervised	ADJ
ispiv-120	48	5	learning	learning	NOUN
ispiv-120	48	6	strategy	strategy	NOUN
ispiv-120	48	7	to	to	PART
ispiv-120	48	8	piv	piv	NOUN
ispiv-120	48	9	application	application	NOUN
ispiv-120	48	10	using	use	VERB
ispiv-120	48	11	a	a	DET
ispiv-120	48	12	liteflownet	liteflownet	NOUN
ispiv-120	48	13	network	network	NOUN
ispiv-120	48	14	design	design	NOUN
ispiv-120	48	15	.	.	PUNCT
ispiv-120	49	1	their	their	PRON
ispiv-120	49	2	loss	loss	NOUN
ispiv-120	49	3	consists	consist	VERB
ispiv-120	49	4	of	of	ADP
ispiv-120	49	5	a	a	DET
ispiv-120	49	6	photometric	photometric	ADJ
ispiv-120	49	7	loss	loss	NOUN
ispiv-120	49	8	between	between	ADP
ispiv-120	49	9	two	two	NUM
ispiv-120	49	10	consecutive	consecutive	ADJ
ispiv-120	49	11	image	image	NOUN
ispiv-120	49	12	frames	frame	NOUN
ispiv-120	49	13	,	,	PUNCT
ispiv-120	49	14	a	a	DET
ispiv-120	49	15	consistency	consistency	NOUN
ispiv-120	49	16	loss	loss	NOUN
ispiv-120	49	17	in	in	ADP
ispiv-120	49	18	bidirectional	bidirectional	ADJ
ispiv-120	49	19	flow	flow	NOUN
ispiv-120	49	20	estimates	estimate	NOUN
ispiv-120	49	21	,	,	PUNCT
ispiv-120	49	22	and	and	CCONJ
ispiv-120	49	23	a	a	DET
ispiv-120	49	24	spatial	spatial	ADJ
ispiv-120	49	25	smoothness	smoothness	ADJ
ispiv-120	49	26	loss	loss	NOUN
ispiv-120	49	27	.	.	PUNCT
ispiv-120	50	1	it	it	PRON
ispiv-120	50	2	is	be	AUX
ispiv-120	50	3	demonstrated	demonstrate	VERB
ispiv-120	50	4	that	that	SCONJ
ispiv-120	50	5	this	this	DET
ispiv-120	50	6	method	method	NOUN
ispiv-120	50	7	achieves	achieve	VERB
ispiv-120	50	8	competitive	competitive	ADJ
ispiv-120	50	9	results	result	NOUN
ispiv-120	50	10	compared	compare	VERB
ispiv-120	50	11	to	to	ADP
ispiv-120	50	12	classical	classical	ADJ
ispiv-120	50	13	piv	piv	NOUN
ispiv-120	50	14	algorithms	algorithm	NOUN
ispiv-120	50	15	and	and	CCONJ
ispiv-120	50	16	supervised	supervise	VERB
ispiv-120	50	17	architectures	architecture	NOUN
ispiv-120	50	18	.	.	PUNCT
ispiv-120	51	1	however	however	ADV
ispiv-120	51	2	,	,	PUNCT
ispiv-120	51	3	a	a	DET
ispiv-120	51	4	comprehensive	comprehensive	ADJ
ispiv-120	51	5	application	application	NOUN
ispiv-120	51	6	to	to	ADP
ispiv-120	51	7	various	various	ADJ
ispiv-120	51	8	real	real	ADJ
ispiv-120	51	9	-	-	PUNCT
ispiv-120	51	10	world	world	NOUN
ispiv-120	51	11	experimental	experimental	ADJ
ispiv-120	51	12	data	datum	NOUN
ispiv-120	51	13	is	be	AUX
ispiv-120	51	14	still	still	ADV
ispiv-120	51	15	missing	miss	VERB
ispiv-120	51	16	.	.	PUNCT
ispiv-120	52	1	therefore	therefore	ADV
ispiv-120	52	2	,	,	PUNCT
ispiv-120	52	3	we	we	PRON
ispiv-120	52	4	study	study	VERB
ispiv-120	52	5	the	the	DET
ispiv-120	52	6	effectiveness	effectiveness	NOUN
ispiv-120	52	7	of	of	ADP
ispiv-120	52	8	unsupervised	unsupervised	ADJ
ispiv-120	52	9	learning	learning	NOUN
ispiv-120	52	10	paradigms	paradigm	NOUN
ispiv-120	52	11	in	in	ADP
ispiv-120	52	12	the	the	DET
ispiv-120	52	13	context	context	NOUN
ispiv-120	52	14	of	of	ADP
ispiv-120	52	15	raft	raft	NOUN
ispiv-120	52	16	-	-	PUNCT
ispiv-120	52	17	piv	piv	NOUN
ispiv-120	52	18	and	and	CCONJ
ispiv-120	52	19	introduce	introduce	VERB
ispiv-120	52	20	an	an	DET
ispiv-120	52	21	unsupervised	unsupervised	ADJ
ispiv-120	52	22	raft	raft	NOUN
ispiv-120	52	23	model	model	NOUN
ispiv-120	52	24	denoted	denote	VERB
ispiv-120	52	25	uraft	uraft	NOUN
ispiv-120	52	26	-	-	PUNCT
ispiv-120	52	27	piv	piv	NOUN
ispiv-120	52	28	.	.	PUNCT
ispiv-120	53	1	2	2	NUM
ispiv-120	53	2	method	method	NOUN
ispiv-120	53	3	the	the	DET
ispiv-120	53	4	baseline	baseline	NOUN
ispiv-120	53	5	model	model	NOUN
ispiv-120	53	6	of	of	ADP
ispiv-120	53	7	our	our	PRON
ispiv-120	53	8	approach	approach	NOUN
ispiv-120	53	9	is	be	AUX
ispiv-120	53	10	raft	raft	NOUN
ispiv-120	53	11	-	-	PUNCT
ispiv-120	53	12	piv	piv	NOUN
ispiv-120	53	13	introduced	introduce	VERB
ispiv-120	53	14	in	in	ADP
ispiv-120	53	15	lagemann	lagemann	PROPN
ispiv-120	53	16	et	et	PROPN
ispiv-120	53	17	al	al	PROPN
ispiv-120	53	18	.	.	PROPN
ispiv-120	54	1	(	(	PUNCT
ispiv-120	54	2	2021	2021	NUM
ispiv-120	54	3	)	)	PUNCT
ispiv-120	54	4	.	.	PUNCT
ispiv-120	55	1	similar	similar	ADJ
ispiv-120	55	2	to	to	ADP
ispiv-120	55	3	the	the	DET
ispiv-120	55	4	original	original	ADJ
ispiv-120	55	5	architecture	architecture	NOUN
ispiv-120	55	6	,	,	PUNCT
ispiv-120	55	7	raft	raft	NOUN
ispiv-120	55	8	-	-	PUNCT
ispiv-120	55	9	piv	piv	NOUN
ispiv-120	55	10	extracts	extract	NOUN
ispiv-120	55	11	per	per	ADP
ispiv-120	55	12	-	-	PUNCT
ispiv-120	55	13	pixel	pixel	NOUN
ispiv-120	55	14	features	feature	NOUN
ispiv-120	55	15	,	,	PUNCT
ispiv-120	55	16	computes	compute	VERB
ispiv-120	55	17	a	a	DET
ispiv-120	55	18	4	4	NUM
ispiv-120	55	19	level	level	NOUN
ispiv-120	55	20	multi	multi	ADJ
ispiv-120	55	21	-	-	ADJ
ispiv-120	55	22	scale	scale	ADJ
ispiv-120	55	23	correlation	correlation	NOUN
ispiv-120	55	24	volume	volume	NOUN
ispiv-120	55	25	for	for	ADP
ispiv-120	55	26	all	all	DET
ispiv-120	55	27	pairs	pair	NOUN
ispiv-120	55	28	of	of	ADP
ispiv-120	55	29	pixels	pixel	NOUN
ispiv-120	55	30	,	,	PUNCT
ispiv-120	55	31	and	and	CCONJ
ispiv-120	55	32	iteratively	iteratively	ADV
ispiv-120	55	33	updates	update	VERB
ispiv-120	55	34	a	a	DET
ispiv-120	55	35	flow	flow	NOUN
ispiv-120	55	36	field	field	NOUN
ispiv-120	55	37	using	use	VERB
ispiv-120	55	38	a	a	DET
ispiv-120	55	39	convolutional	convolutional	ADJ
ispiv-120	55	40	gated	gate	VERB
ispiv-120	55	41	recurrent	recurrent	ADJ
ispiv-120	55	42	unit	unit	NOUN
ispiv-120	55	43	.	.	PUNCT
ispiv-120	56	1	details	detail	NOUN
ispiv-120	56	2	can	can	AUX
ispiv-120	56	3	be	be	AUX
ispiv-120	56	4	found	find	VERB
ispiv-120	56	5	in	in	ADP
ispiv-120	56	6	teed	teed	NOUN
ispiv-120	56	7	and	and	CCONJ
ispiv-120	56	8	deng	deng	PROPN
ispiv-120	56	9	(	(	PUNCT
ispiv-120	56	10	2020	2020	NUM
ispiv-120	56	11	)	)	PUNCT
ispiv-120	56	12	.	.	PUNCT
ispiv-120	57	1	compared	compare	VERB
ispiv-120	57	2	to	to	ADP
ispiv-120	57	3	other	other	ADJ
ispiv-120	57	4	optical	optical	ADJ
ispiv-120	57	5	flow	flow	NOUN
ispiv-120	57	6	networks	network	NOUN
ispiv-120	57	7	,	,	PUNCT
ispiv-120	57	8	it	it	PRON
ispiv-120	57	9	is	be	AUX
ispiv-120	57	10	unique	unique	ADJ
ispiv-120	57	11	in	in	ADP
ispiv-120	57	12	the	the	DET
ispiv-120	57	13	sense	sense	NOUN
ispiv-120	57	14	that	that	SCONJ
ispiv-120	57	15	it	it	PRON
ispiv-120	57	16	operates	operate	VERB
ispiv-120	57	17	at	at	ADP
ispiv-120	57	18	a	a	DET
ispiv-120	57	19	single	single	ADJ
ispiv-120	57	20	resolution	resolution	NOUN
ispiv-120	57	21	using	use	VERB
ispiv-120	57	22	a	a	DET
ispiv-120	57	23	large	large	ADJ
ispiv-120	57	24	number	number	NOUN
ispiv-120	57	25	of	of	ADP
ispiv-120	57	26	lightweight	lightweight	ADJ
ispiv-120	57	27	,	,	PUNCT
ispiv-120	57	28	recurrent	recurrent	ADJ
ispiv-120	57	29	update	update	NOUN
ispiv-120	57	30	operators	operator	NOUN
ispiv-120	57	31	.	.	PUNCT
ispiv-120	58	1	given	give	VERB
ispiv-120	58	2	a	a	DET
ispiv-120	58	3	pair	pair	NOUN
ispiv-120	58	4	of	of	ADP
ispiv-120	58	5	grayscale	grayscale	NOUN
ispiv-120	58	6	particle	particle	NOUN
ispiv-120	58	7	images	image	NOUN
ispiv-120	58	8	,	,	PUNCT
ispiv-120	58	9	i1,i2	i1,i2	PROPN
ispiv-120	58	10	,	,	PUNCT
ispiv-120	58	11	optical	optical	ADJ
ispiv-120	58	12	flow	flow	NOUN
ispiv-120	58	13	estimation	estimation	NOUN
ispiv-120	58	14	requires	require	VERB
ispiv-120	58	15	to	to	PART
ispiv-120	58	16	predict	predict	VERB
ispiv-120	58	17	a	a	DET
ispiv-120	58	18	dense	dense	ADJ
ispiv-120	58	19	displacement	displacement	ADJ
ispiv-120	58	20	field	field	NOUN
ispiv-120	58	21	(	(	PUNCT
ispiv-120	58	22	f1	f1	NOUN
ispiv-120	58	23	,	,	PUNCT
ispiv-120	58	24	f2	f2	PROPN
ispiv-120	58	25	)	)	PUNCT
ispiv-120	58	26	mapping	mapping	NOUN
ispiv-120	58	27	each	each	DET
ispiv-120	58	28	pixel	pixel	NOUN
ispiv-120	58	29	of	of	ADP
ispiv-120	58	30	i1	i1	PROPN
ispiv-120	58	31	to	to	ADP
ispiv-120	58	32	its	its	PRON
ispiv-120	58	33	corresponding	corresponding	ADJ
ispiv-120	58	34	coordinates	coordinate	NOUN
ispiv-120	58	35	in	in	ADP
ispiv-120	58	36	i2	i2	PROPN
ispiv-120	58	37	.	.	PUNCT
ispiv-120	59	1	raft	raft	NOUN
ispiv-120	59	2	mainly	mainly	ADV
ispiv-120	59	3	backward	backward	ADJ
ispiv-120	59	4	flow	flow	NOUN
ispiv-120	59	5	1st	1st	ADJ
ispiv-120	59	6	frame	frame	NOUN
ispiv-120	59	7	2nd	2nd	ADJ
ispiv-120	59	8	frame	frame	NOUN
ispiv-120	59	9	optical	optical	ADJ
ispiv-120	59	10	flow	flow	NOUN
ispiv-120	59	11	warp	warp	NOUN
ispiv-120	59	12	photometric	photometric	NOUN
ispiv-120	59	13	loss	loss	NOUN
ispiv-120	59	14	smoothness	smoothness	ADJ
ispiv-120	59	15	loss	loss	NOUN
ispiv-120	59	16	2nd	2nd	ADJ
ispiv-120	59	17	frame	frame	NOUN
ispiv-120	59	18	1st	1st	ADJ
ispiv-120	59	19	frame	frame	NOUN
ispiv-120	59	20	optical	optical	ADJ
ispiv-120	59	21	flow	flow	NOUN
ispiv-120	59	22	warp	warp	NOUN
ispiv-120	59	23	photometric	photometric	NOUN
ispiv-120	59	24	loss	loss	NOUN
ispiv-120	59	25	smoothness	smoothness	ADJ
ispiv-120	59	26	loss	loss	NOUN
ispiv-120	59	27	consistency	consistency	NOUN
ispiv-120	59	28	loss	loss	NOUN
ispiv-120	59	29	warp	warp	VERB
ispiv-120	59	30	forward	forward	ADV
ispiv-120	59	31	flow	flow	NOUN
ispiv-120	59	32	(	(	PUNCT
ispiv-120	59	33	i	i	NOUN
ispiv-120	59	34	)	)	PUNCT
ispiv-120	59	35	(	(	PUNCT
ispiv-120	59	36	ii	ii	NOUN
ispiv-120	59	37	)	)	PUNCT
ispiv-120	59	38	(	(	PUNCT
ispiv-120	59	39	iii	iii	NOUN
ispiv-120	59	40	)	)	PUNCT
ispiv-120	59	41	(	(	PUNCT
ispiv-120	59	42	iv	iv	X
ispiv-120	59	43	)	)	PUNCT
ispiv-120	59	44	(	(	PUNCT
ispiv-120	59	45	v	v	NOUN
ispiv-120	59	46	)	)	PUNCT
ispiv-120	59	47	(	(	PUNCT
ispiv-120	59	48	i	i	NOUN
ispiv-120	59	49	)	)	PUNCT
ispiv-120	59	50	(	(	PUNCT
ispiv-120	59	51	ii	ii	NOUN
ispiv-120	59	52	)	)	PUNCT
ispiv-120	59	53	(	(	PUNCT
ispiv-120	59	54	iii	iii	NOUN
ispiv-120	59	55	)	)	PUNCT
ispiv-120	59	56	(	(	PUNCT
ispiv-120	59	57	iv	iv	X
ispiv-120	59	58	)	)	PUNCT
ispiv-120	59	59	(	(	PUNCT
ispiv-120	59	60	v	v	NOUN
ispiv-120	59	61	)	)	PUNCT
ispiv-120	59	62	figure	figure	NOUN
ispiv-120	59	63	1	1	NUM
ispiv-120	59	64	:	:	PUNCT
ispiv-120	59	65	schematic	schematic	ADJ
ispiv-120	59	66	visualization	visualization	NOUN
ispiv-120	59	67	of	of	ADP
ispiv-120	59	68	uraft	uraft	NOUN
ispiv-120	59	69	-	-	PUNCT
ispiv-120	59	70	piv	piv	NOUN
ispiv-120	59	71	and	and	CCONJ
ispiv-120	59	72	its	its	PRON
ispiv-120	59	73	main	main	ADJ
ispiv-120	59	74	components	component	NOUN
ispiv-120	59	75	:	:	PUNCT
ispiv-120	59	76	a	a	DET
ispiv-120	59	77	shared	share	VERB
ispiv-120	59	78	feature	feature	NOUN
ispiv-120	59	79	encoder	encoder	NOUN
ispiv-120	59	80	(	(	PUNCT
ispiv-120	59	81	i	i	NOUN
ispiv-120	59	82	)	)	PUNCT
ispiv-120	59	83	extracts	extract	NOUN
ispiv-120	59	84	per	per	ADP
ispiv-120	59	85	-	-	PUNCT
ispiv-120	59	86	pixel	pixel	NOUN
ispiv-120	59	87	features	feature	NOUN
ispiv-120	59	88	from	from	ADP
ispiv-120	59	89	both	both	DET
ispiv-120	59	90	input	input	NOUN
ispiv-120	59	91	images	image	NOUN
ispiv-120	59	92	.	.	PUNCT
ispiv-120	60	1	based	base	VERB
ispiv-120	60	2	on	on	ADP
ispiv-120	60	3	the	the	DET
ispiv-120	60	4	all	all	DET
ispiv-120	60	5	-	-	PUNCT
ispiv-120	60	6	pairs	pair	NOUN
ispiv-120	60	7	correlation	correlation	NOUN
ispiv-120	60	8	(	(	PUNCT
ispiv-120	60	9	ii	ii	NOUN
ispiv-120	60	10	)	)	PUNCT
ispiv-120	60	11	a	a	DET
ispiv-120	60	12	4d	4d	NUM
ispiv-120	60	13	correlation	correlation	NOUN
ispiv-120	60	14	volume	volume	NOUN
ispiv-120	60	15	is	be	AUX
ispiv-120	60	16	computed	compute	VERB
ispiv-120	60	17	and	and	CCONJ
ispiv-120	60	18	subsequently	subsequently	ADV
ispiv-120	60	19	stacked	stack	VERB
ispiv-120	60	20	to	to	PART
ispiv-120	60	21	form	form	VERB
ispiv-120	60	22	a	a	DET
ispiv-120	60	23	correlation	correlation	NOUN
ispiv-120	60	24	pyramid	pyramid	NOUN
ispiv-120	60	25	(	(	PUNCT
ispiv-120	60	26	iii	iii	NOUN
ispiv-120	60	27	)	)	PUNCT
ispiv-120	60	28	by	by	ADP
ispiv-120	60	29	pooling	pool	VERB
ispiv-120	60	30	the	the	DET
ispiv-120	60	31	last	last	ADJ
ispiv-120	60	32	two	two	NUM
ispiv-120	60	33	dimensions	dimension	NOUN
ispiv-120	60	34	from	from	ADP
ispiv-120	60	35	level	level	NOUN
ispiv-120	60	36	to	to	ADP
ispiv-120	60	37	level	level	NOUN
ispiv-120	60	38	.	.	PUNCT
ispiv-120	61	1	the	the	DET
ispiv-120	61	2	context	context	NOUN
ispiv-120	61	3	encoder	encoder	NOUN
ispiv-120	61	4	(	(	PUNCT
ispiv-120	61	5	iv	iv	X
ispiv-120	61	6	)	)	PUNCT
ispiv-120	61	7	sharing	share	VERB
ispiv-120	61	8	the	the	DET
ispiv-120	61	9	topology	topology	NOUN
ispiv-120	61	10	of	of	ADP
ispiv-120	61	11	the	the	DET
ispiv-120	61	12	feature	feature	NOUN
ispiv-120	61	13	encoder	encoder	NOUN
ispiv-120	61	14	computes	compute	VERB
ispiv-120	61	15	a	a	DET
ispiv-120	61	16	context	context	NOUN
ispiv-120	61	17	map	map	NOUN
ispiv-120	61	18	of	of	ADP
ispiv-120	61	19	the	the	DET
ispiv-120	61	20	first	first	ADJ
ispiv-120	61	21	image	image	NOUN
ispiv-120	61	22	frame	frame	NOUN
ispiv-120	61	23	.	.	PUNCT
ispiv-120	62	1	the	the	DET
ispiv-120	62	2	convolutional	convolutional	ADJ
ispiv-120	62	3	gru	gru	NOUN
ispiv-120	62	4	(	(	PUNCT
ispiv-120	62	5	v	v	NOUN
ispiv-120	62	6	)	)	PUNCT
ispiv-120	62	7	takes	take	VERB
ispiv-120	62	8	context	context	NOUN
ispiv-120	62	9	map	map	NOUN
ispiv-120	62	10	and	and	CCONJ
ispiv-120	62	11	correlation	correlation	NOUN
ispiv-120	62	12	volume	volume	NOUN
ispiv-120	62	13	as	as	ADP
ispiv-120	62	14	input	input	NOUN
ispiv-120	62	15	and	and	CCONJ
ispiv-120	62	16	recurrently	recurrently	ADV
ispiv-120	62	17	updates	update	VERB
ispiv-120	62	18	the	the	DET
ispiv-120	62	19	optical	optical	ADJ
ispiv-120	62	20	flow	flow	NOUN
ispiv-120	62	21	estimation	estimation	NOUN
ispiv-120	62	22	.	.	PUNCT
ispiv-120	63	1	the	the	DET
ispiv-120	63	2	loss	loss	NOUN
ispiv-120	63	3	objective	objective	NOUN
ispiv-120	63	4	of	of	ADP
ispiv-120	63	5	uraft	uraft	NOUN
ispiv-120	63	6	-	-	PUNCT
ispiv-120	63	7	piv	piv	NOUN
ispiv-120	63	8	comprises	comprise	VERB
ispiv-120	63	9	a	a	DET
ispiv-120	63	10	photometric	photometric	NOUN
ispiv-120	63	11	,	,	PUNCT
ispiv-120	63	12	forward	forward	ADJ
ispiv-120	63	13	/	/	SYM
ispiv-120	63	14	backward	backward	ADV
ispiv-120	63	15	consistent	consistent	ADJ
ispiv-120	63	16	,	,	PUNCT
ispiv-120	63	17	and	and	CCONJ
ispiv-120	63	18	smoothness	smoothness	ADJ
ispiv-120	63	19	oriented	orient	VERB
ispiv-120	63	20	penalty	penalty	NOUN
ispiv-120	63	21	term	term	NOUN
ispiv-120	63	22	.	.	PUNCT
ispiv-120	64	1	the	the	DET
ispiv-120	64	2	photometric	photometric	NOUN
ispiv-120	64	3	loss	loss	NOUN
ispiv-120	64	4	penalizes	penalize	VERB
ispiv-120	64	5	the	the	DET
ispiv-120	64	6	photometric	photometric	ADJ
ispiv-120	64	7	difference	difference	NOUN
ispiv-120	64	8	between	between	ADP
ispiv-120	64	9	the	the	DET
ispiv-120	64	10	initial	initial	NOUN
ispiv-120	64	11	and	and	CCONJ
ispiv-120	64	12	the	the	DET
ispiv-120	64	13	subsequent	subsequent	ADJ
ispiv-120	64	14	image	image	NOUN
ispiv-120	64	15	which	which	PRON
ispiv-120	64	16	is	be	AUX
ispiv-120	64	17	warped	warp	VERB
ispiv-120	64	18	according	accord	VERB
ispiv-120	64	19	to	to	ADP
ispiv-120	64	20	the	the	DET
ispiv-120	64	21	local	local	ADJ
ispiv-120	64	22	flow	flow	NOUN
ispiv-120	64	23	prediction	prediction	NOUN
ispiv-120	64	24	.	.	PUNCT
ispiv-120	65	1	an	an	DET
ispiv-120	65	2	individual	individual	ADJ
ispiv-120	65	3	forward	forward	ADV
ispiv-120	65	4	and	and	CCONJ
ispiv-120	65	5	backward	backward	ADJ
ispiv-120	65	6	flow	flow	NOUN
ispiv-120	65	7	is	be	AUX
ispiv-120	65	8	estimated	estimate	VERB
ispiv-120	65	9	by	by	ADP
ispiv-120	65	10	reversing	reverse	VERB
ispiv-120	65	11	the	the	DET
ispiv-120	65	12	order	order	NOUN
ispiv-120	65	13	of	of	ADP
ispiv-120	65	14	the	the	DET
ispiv-120	65	15	input	input	NOUN
ispiv-120	65	16	images	image	NOUN
ispiv-120	65	17	.	.	PUNCT
ispiv-120	66	1	the	the	DET
ispiv-120	66	2	consistency	consistency	NOUN
ispiv-120	66	3	loss	loss	NOUN
ispiv-120	66	4	penalizes	penalize	VERB
ispiv-120	66	5	differences	difference	NOUN
ispiv-120	66	6	between	between	ADP
ispiv-120	66	7	forward	forward	ADJ
ispiv-120	66	8	and	and	CCONJ
ispiv-120	66	9	backward	backward	ADJ
ispiv-120	66	10	flow	flow	NOUN
ispiv-120	66	11	.	.	PUNCT
ispiv-120	67	1	finally	finally	ADV
ispiv-120	67	2	,	,	PUNCT
ispiv-120	67	3	a	a	DET
ispiv-120	67	4	smoothness	smoothness	ADJ
ispiv-120	67	5	penalty	penalty	NOUN
ispiv-120	67	6	term	term	NOUN
ispiv-120	67	7	is	be	AUX
ispiv-120	67	8	applied	apply	VERB
ispiv-120	67	9	to	to	ADP
ispiv-120	67	10	forward	forward	ADV
ispiv-120	67	11	and	and	CCONJ
ispiv-120	67	12	backward	backward	ADJ
ispiv-120	67	13	flow	flow	VERB
ispiv-120	67	14	separately	separately	ADV
ispiv-120	67	15	.	.	PUNCT
ispiv-120	68	1	consists	consist	VERB
ispiv-120	68	2	of	of	ADP
ispiv-120	68	3	three	three	NUM
ispiv-120	68	4	stages	stage	NOUN
ispiv-120	68	5	,	,	PUNCT
ispiv-120	68	6	a	a	DET
ispiv-120	68	7	feature	feature	NOUN
ispiv-120	68	8	extracting	extract	VERB
ispiv-120	68	9	block	block	NOUN
ispiv-120	68	10	,	,	PUNCT
ispiv-120	68	11	the	the	DET
ispiv-120	68	12	computation	computation	NOUN
ispiv-120	68	13	of	of	ADP
ispiv-120	68	14	a	a	DET
ispiv-120	68	15	full	full	ADJ
ispiv-120	68	16	correlation	correlation	NOUN
ispiv-120	68	17	volume	volume	NOUN
ispiv-120	68	18	between	between	ADP
ispiv-120	68	19	all	all	DET
ispiv-120	68	20	pairs	pair	NOUN
ispiv-120	68	21	,	,	PUNCT
ispiv-120	68	22	and	and	CCONJ
ispiv-120	68	23	iterative	iterative	NOUN
ispiv-120	68	24	updates	update	NOUN
ispiv-120	68	25	based	base	VERB
ispiv-120	68	26	on	on	ADP
ispiv-120	68	27	a	a	DET
ispiv-120	68	28	convolutional	convolutional	ADJ
ispiv-120	68	29	gated	gate	VERB
ispiv-120	68	30	recurrent	recurrent	ADJ
ispiv-120	68	31	unit	unit	NOUN
ispiv-120	68	32	(	(	PUNCT
ispiv-120	68	33	conv	conv	PROPN
ispiv-120	68	34	gru	gru	PROPN
ispiv-120	68	35	)	)	PUNCT
ispiv-120	68	36	.	.	PUNCT
ispiv-120	69	1	a	a	DET
ispiv-120	69	2	schematic	schematic	ADJ
ispiv-120	69	3	visualization	visualization	NOUN
ispiv-120	69	4	of	of	ADP
ispiv-120	69	5	uraft	uraft	NOUN
ispiv-120	69	6	-	-	PUNCT
ispiv-120	69	7	piv	piv	NOUN
ispiv-120	69	8	can	can	AUX
ispiv-120	69	9	be	be	AUX
ispiv-120	69	10	found	find	VERB
ispiv-120	69	11	in	in	ADP
ispiv-120	69	12	fig	fig	NOUN
ispiv-120	69	13	.	.	PUNCT
ispiv-120	70	1	1	1	X
ispiv-120	70	2	.	.	X
ispiv-120	71	1	furthermore	furthermore	ADV
ispiv-120	71	2	,	,	PUNCT
ispiv-120	71	3	we	we	PRON
ispiv-120	71	4	introduced	introduce	VERB
ispiv-120	71	5	a	a	DET
ispiv-120	71	6	cost	cost	NOUN
ispiv-120	71	7	volume	volume	NOUN
ispiv-120	71	8	normalization	normalization	NOUN
ispiv-120	71	9	and	and	CCONJ
ispiv-120	71	10	waive	waive	VERB
ispiv-120	71	11	the	the	DET
ispiv-120	71	12	spatial	spatial	ADJ
ispiv-120	71	13	downsampling	downsampling	NOUN
ispiv-120	71	14	within	within	ADP
ispiv-120	71	15	the	the	DET
ispiv-120	71	16	feature	feature	NOUN
ispiv-120	71	17	extraction	extraction	NOUN
ispiv-120	71	18	block	block	NOUN
ispiv-120	71	19	.	.	PUNCT
ispiv-120	72	1	this	this	PRON
ispiv-120	72	2	allows	allow	VERB
ispiv-120	72	3	a	a	DET
ispiv-120	72	4	state	state	NOUN
ispiv-120	72	5	-	-	PUNCT
ispiv-120	72	6	of	of	ADP
ispiv-120	72	7	-	-	PUNCT
ispiv-120	72	8	the	the	DET
ispiv-120	72	9	-	-	PUNCT
ispiv-120	72	10	art	art	NOUN
ispiv-120	72	11	performance	performance	NOUN
ispiv-120	72	12	while	while	SCONJ
ispiv-120	72	13	showing	show	VERB
ispiv-120	72	14	a	a	DET
ispiv-120	72	15	strong	strong	ADJ
ispiv-120	72	16	generalization	generalization	NOUN
ispiv-120	72	17	ability	ability	NOUN
ispiv-120	72	18	in	in	ADP
ispiv-120	72	19	direct	direct	ADJ
ispiv-120	72	20	real	real	ADJ
ispiv-120	72	21	world	world	NOUN
ispiv-120	72	22	applications	application	NOUN
ispiv-120	72	23	.	.	PUNCT
ispiv-120	73	1	to	to	PART
ispiv-120	73	2	achieve	achieve	VERB
ispiv-120	73	3	an	an	DET
ispiv-120	73	4	unsupervised	unsupervised	ADJ
ispiv-120	73	5	learning	learning	NOUN
ispiv-120	73	6	scheme	scheme	NOUN
ispiv-120	73	7	,	,	PUNCT
ispiv-120	73	8	we	we	PRON
ispiv-120	73	9	apply	apply	VERB
ispiv-120	73	10	a	a	DET
ispiv-120	73	11	loss	loss	NOUN
ispiv-120	73	12	objective	objective	NOUN
ispiv-120	73	13	which	which	PRON
ispiv-120	73	14	comprises	comprise	VERB
ispiv-120	73	15	photometric	photometric	NOUN
ispiv-120	73	16	,	,	PUNCT
ispiv-120	73	17	forward	forward	ADV
ispiv-120	73	18	/	/	SYM
ispiv-120	73	19	backward	backward	ADV
ispiv-120	73	20	consistent	consistent	ADJ
ispiv-120	73	21	,	,	PUNCT
ispiv-120	73	22	and	and	CCONJ
ispiv-120	73	23	smoothness	smoothness	ADJ
ispiv-120	73	24	oriented	orient	VERB
ispiv-120	73	25	penalty	penalty	NOUN
ispiv-120	73	26	terms	term	NOUN
ispiv-120	73	27	.	.	PUNCT
ispiv-120	74	1	the	the	DET
ispiv-120	74	2	photometric	photometric	ADJ
ispiv-120	74	3	loss	loss	NOUN
ispiv-120	74	4	encourages	encourage	VERB
ispiv-120	74	5	the	the	DET
ispiv-120	74	6	optical	optical	ADJ
ispiv-120	74	7	flow	flow	NOUN
ispiv-120	74	8	network	network	NOUN
ispiv-120	74	9	to	to	PART
ispiv-120	74	10	align	align	VERB
ispiv-120	74	11	image	image	NOUN
ispiv-120	74	12	patterns	pattern	NOUN
ispiv-120	74	13	by	by	ADP
ispiv-120	74	14	penalizing	penalize	VERB
ispiv-120	74	15	the	the	DET
ispiv-120	74	16	photometric	photometric	ADJ
ispiv-120	74	17	difference	difference	NOUN
ispiv-120	74	18	between	between	ADP
ispiv-120	74	19	the	the	DET
ispiv-120	74	20	initial	initial	NOUN
ispiv-120	74	21	and	and	CCONJ
ispiv-120	74	22	the	the	DET
ispiv-120	74	23	subsequent	subsequent	ADJ
ispiv-120	74	24	image	image	NOUN
ispiv-120	74	25	which	which	PRON
ispiv-120	74	26	is	be	AUX
ispiv-120	74	27	warped	warp	VERB
ispiv-120	74	28	according	accord	VERB
ispiv-120	74	29	to	to	ADP
ispiv-120	74	30	the	the	DET
ispiv-120	74	31	local	local	ADJ
ispiv-120	74	32	flow	flow	NOUN
ispiv-120	74	33	prediction	prediction	NOUN
ispiv-120	74	34	.	.	PUNCT
ispiv-120	75	1	in	in	ADP
ispiv-120	75	2	fact	fact	NOUN
ispiv-120	75	3	,	,	PUNCT
ispiv-120	75	4	a	a	DET
ispiv-120	75	5	bi	bi	ADJ
ispiv-120	75	6	-	-	ADJ
ispiv-120	75	7	directional	directional	ADJ
ispiv-120	75	8	photometric	photometric	NOUN
ispiv-120	75	9	loss	loss	NOUN
ispiv-120	75	10	based	base	VERB
ispiv-120	75	11	on	on	ADP
ispiv-120	75	12	the	the	DET
ispiv-120	75	13	generalized	generalize	VERB
ispiv-120	75	14	charbonnier	charbonnier	NOUN
ispiv-120	75	15	loss	loss	NOUN
ispiv-120	75	16	is	be	AUX
ispiv-120	75	17	used	use	VERB
ispiv-120	75	18	which	which	PRON
ispiv-120	75	19	simply	simply	ADV
ispiv-120	75	20	can	can	AUX
ispiv-120	75	21	be	be	AUX
ispiv-120	75	22	achieved	achieve	VERB
ispiv-120	75	23	reversing	reverse	VERB
ispiv-120	75	24	the	the	DET
ispiv-120	75	25	order	order	NOUN
ispiv-120	75	26	of	of	ADP
ispiv-120	75	27	the	the	DET
ispiv-120	75	28	input	input	NOUN
ispiv-120	75	29	data	datum	NOUN
ispiv-120	75	30	.	.	PUNCT
ispiv-120	76	1	thus	thus	ADV
ispiv-120	76	2	,	,	PUNCT
ispiv-120	76	3	an	an	DET
ispiv-120	76	4	individual	individual	NOUN
ispiv-120	76	5	forward	forward	ADV
ispiv-120	76	6	and	and	CCONJ
ispiv-120	76	7	backward	backward	ADJ
ispiv-120	76	8	flow	flow	NOUN
ispiv-120	76	9	is	be	AUX
ispiv-120	76	10	estimated	estimate	VERB
ispiv-120	76	11	.	.	PUNCT
ispiv-120	77	1	to	to	PART
ispiv-120	77	2	account	account	VERB
ispiv-120	77	3	for	for	ADP
ispiv-120	77	4	occluded	occluded	ADJ
ispiv-120	77	5	pixels	pixel	NOUN
ispiv-120	77	6	,	,	PUNCT
ispiv-120	77	7	which	which	PRON
ispiv-120	77	8	by	by	ADP
ispiv-120	77	9	definition	definition	NOUN
ispiv-120	77	10	do	do	AUX
ispiv-120	77	11	not	not	PART
ispiv-120	77	12	have	have	VERB
ispiv-120	77	13	a	a	DET
ispiv-120	77	14	valid	valid	ADJ
ispiv-120	77	15	counterpart	counterpart	NOUN
ispiv-120	77	16	in	in	ADP
ispiv-120	77	17	the	the	DET
ispiv-120	77	18	other	other	ADJ
ispiv-120	77	19	image	image	NOUN
ispiv-120	77	20	,	,	PUNCT
ispiv-120	77	21	we	we	PRON
ispiv-120	77	22	compute	compute	VERB
ispiv-120	77	23	an	an	DET
ispiv-120	77	24	occlusion	occlusion	NOUN
ispiv-120	77	25	mask	mask	NOUN
ispiv-120	77	26	based	base	VERB
ispiv-120	77	27	on	on	ADP
ispiv-120	77	28	a	a	DET
ispiv-120	77	29	forward	forward	ADJ
ispiv-120	77	30	/	/	SYM
ispiv-120	77	31	backward	backward	ADJ
ispiv-120	77	32	flow	flow	NOUN
ispiv-120	77	33	check	check	NOUN
ispiv-120	77	34	.	.	PUNCT
ispiv-120	78	1	the	the	DET
ispiv-120	78	2	consistency	consistency	NOUN
ispiv-120	78	3	loss	loss	NOUN
ispiv-120	78	4	penalizes	penalize	VERB
ispiv-120	78	5	differences	difference	NOUN
ispiv-120	78	6	between	between	ADP
ispiv-120	78	7	forward	forward	ADJ
ispiv-120	78	8	and	and	CCONJ
ispiv-120	78	9	backward	backward	ADJ
ispiv-120	78	10	flow	flow	NOUN
ispiv-120	78	11	,	,	PUNCT
ispiv-120	78	12	again	again	ADV
ispiv-120	78	13	applying	apply	VERB
ispiv-120	78	14	a	a	DET
ispiv-120	78	15	generalized	generalized	ADJ
ispiv-120	78	16	formulation	formulation	NOUN
ispiv-120	78	17	of	of	ADP
ispiv-120	78	18	the	the	DET
ispiv-120	78	19	charbonnier	charbonni	ADJ
ispiv-120	78	20	loss	loss	NOUN
ispiv-120	78	21	to	to	ADP
ispiv-120	78	22	the	the	DET
ispiv-120	78	23	difference	difference	NOUN
ispiv-120	78	24	between	between	ADP
ispiv-120	78	25	forward	forward	ADJ
ispiv-120	78	26	and	and	CCONJ
ispiv-120	78	27	backward	backward	ADJ
ispiv-120	78	28	flow	flow	NOUN
ispiv-120	78	29	.	.	PUNCT
ispiv-120	79	1	to	to	PART
ispiv-120	79	2	address	address	VERB
ispiv-120	79	3	the	the	DET
ispiv-120	79	4	aperture	aperture	ADJ
ispiv-120	79	5	problem	problem	NOUN
ispiv-120	79	6	,	,	PUNCT
ispiv-120	79	7	e.g.	e.g.	ADV
ispiv-120	79	8	,	,	PUNCT
ispiv-120	79	9	motion	motion	NOUN
ispiv-120	79	10	estimation	estimation	NOUN
ispiv-120	79	11	of	of	ADP
ispiv-120	79	12	regions	region	NOUN
ispiv-120	79	13	with	with	ADP
ispiv-120	79	14	insufficient	insufficient	ADJ
ispiv-120	79	15	image	image	NOUN
ispiv-120	79	16	structure	structure	NOUN
ispiv-120	79	17	as	as	ADP
ispiv-120	79	18	present	present	ADJ
ispiv-120	79	19	in	in	ADP
ispiv-120	79	20	sections	section	NOUN
ispiv-120	79	21	in	in	ADP
ispiv-120	79	22	-	-	PUNCT
ispiv-120	79	23	between	between	ADP
ispiv-120	79	24	particles	particle	NOUN
ispiv-120	79	25	,	,	PUNCT
ispiv-120	79	26	we	we	PRON
ispiv-120	79	27	apply	apply	VERB
ispiv-120	79	28	an	an	DET
ispiv-120	79	29	edge	edge	NOUN
ispiv-120	79	30	-	-	PUNCT
ispiv-120	79	31	aware	aware	ADJ
ispiv-120	79	32	first	first	ADJ
ispiv-120	79	33	-	-	PUNCT
ispiv-120	79	34	order	order	NOUN
ispiv-120	79	35	accurate	accurate	ADJ
ispiv-120	79	36	smoothness	smoothness	ADJ
ispiv-120	79	37	function	function	NOUN
ispiv-120	79	38	to	to	PART
ispiv-120	79	39	forward	forward	ADJ
ispiv-120	79	40	and	and	CCONJ
ispiv-120	79	41	backward	backward	ADJ
ispiv-120	79	42	flow	flow	NOUN
ispiv-120	79	43	.	.	PUNCT
ispiv-120	80	1	extensive	extensive	ADJ
ispiv-120	80	2	hyperparameter	hyperparameter	NOUN
ispiv-120	80	3	studies	study	NOUN
ispiv-120	80	4	are	be	AUX
ispiv-120	80	5	performed	perform	VERB
ispiv-120	80	6	to	to	PART
ispiv-120	80	7	identify	identify	VERB
ispiv-120	80	8	proper	proper	ADJ
ispiv-120	80	9	weights	weight	NOUN
ispiv-120	80	10	for	for	ADP
ispiv-120	80	11	the	the	DET
ispiv-120	80	12	specific	specific	ADJ
ispiv-120	80	13	objective	objective	ADJ
ispiv-120	80	14	penalty	penalty	NOUN
ispiv-120	80	15	terms	term	NOUN
ispiv-120	80	16	.	.	PUNCT
ispiv-120	81	1	furthermore	furthermore	ADV
ispiv-120	81	2	,	,	PUNCT
ispiv-120	81	3	the	the	DET
ispiv-120	81	4	loss	loss	NOUN
ispiv-120	81	5	of	of	ADP
ispiv-120	81	6	each	each	DET
ispiv-120	81	7	optical	optical	ADJ
ispiv-120	81	8	flow	flow	NOUN
ispiv-120	81	9	iteration	iteration	NOUN
ispiv-120	81	10	is	be	AUX
ispiv-120	81	11	weighted	weight	VERB
ispiv-120	81	12	exponentially	exponentially	ADV
ispiv-120	81	13	forming	form	VERB
ispiv-120	81	14	the	the	DET
ispiv-120	81	15	final	final	ADJ
ispiv-120	81	16	sequence	sequence	NOUN
ispiv-120	81	17	loss	loss	NOUN
ispiv-120	81	18	.	.	PUNCT
ispiv-120	82	1	the	the	DET
ispiv-120	82	2	sequence	sequence	NOUN
ispiv-120	82	3	loss	loss	NOUN
ispiv-120	82	4	reads	read	VERB
ispiv-120	82	5	l	l	NOUN
ispiv-120	82	6	=	=	PUNCT
ispiv-120	82	7	n	n	CCONJ
ispiv-120	82	8	∑	∑	PROPN
ispiv-120	82	9	i=1	i=1	PROPN
ispiv-120	82	10	γ	γ	PROPN
ispiv-120	82	11	n−i	n−i	PROPN
ispiv-120	82	12	(	(	PUNCT
ispiv-120	82	13	li	li	PROPN
ispiv-120	82	14	photo	photo	PROPN
ispiv-120	82	15	+	+	PROPN
ispiv-120	82	16	li	li	PROPN
ispiv-120	82	17	con	con	PROPN
ispiv-120	82	18	+	+	PROPN
ispiv-120	82	19	li	li	PROPN
ispiv-120	82	20	smooth	smooth	PROPN
ispiv-120	82	21	)	)	PUNCT
ispiv-120	82	22	(	(	PUNCT
ispiv-120	82	23	1	1	X
ispiv-120	82	24	)	)	PUNCT
ispiv-120	82	25	where	where	SCONJ
ispiv-120	82	26	li	li	PROPN
ispiv-120	82	27	photo	photo	PROPN
ispiv-120	82	28	,	,	PUNCT
ispiv-120	82	29	l	l	PROPN
ispiv-120	83	1	i	i	PRON
ispiv-120	83	2	con	con	NOUN
ispiv-120	83	3	,	,	PUNCT
ispiv-120	83	4	l	l	VERB
ispiv-120	83	5	i	i	PRON
ispiv-120	83	6	smooth	smooth	VERB
ispiv-120	83	7	denote	denote	VERB
ispiv-120	83	8	the	the	DET
ispiv-120	83	9	photometric	photometric	NOUN
ispiv-120	83	10	,	,	PUNCT
ispiv-120	83	11	forward	forward	ADJ
ispiv-120	83	12	/	/	SYM
ispiv-120	83	13	backward	backward	ADV
ispiv-120	83	14	consistent	consistent	ADJ
ispiv-120	83	15	,	,	PUNCT
ispiv-120	83	16	and	and	CCONJ
ispiv-120	83	17	smoothness	smoothness	ADJ
ispiv-120	83	18	oriented	orient	VERB
ispiv-120	83	19	penalty	penalty	NOUN
ispiv-120	83	20	term	term	NOUN
ispiv-120	83	21	of	of	ADP
ispiv-120	83	22	the	the	DET
ispiv-120	83	23	iteration	iteration	NOUN
ispiv-120	83	24	i	i	PRON
ispiv-120	83	25	and	and	CCONJ
ispiv-120	83	26	γ	γ	PROPN
ispiv-120	83	27	is	be	AUX
ispiv-120	83	28	the	the	DET
ispiv-120	83	29	exponential	exponential	ADJ
ispiv-120	83	30	weight	weight	NOUN
ispiv-120	83	31	.	.	PUNCT
ispiv-120	84	1	similar	similar	ADJ
ispiv-120	84	2	to	to	PART
ispiv-120	84	3	teed	teed	VERB
ispiv-120	84	4	and	and	CCONJ
ispiv-120	84	5	deng	deng	PROPN
ispiv-120	84	6	(	(	PUNCT
ispiv-120	84	7	2020	2020	NUM
ispiv-120	84	8	)	)	PUNCT
ispiv-120	84	9	,	,	PUNCT
ispiv-120	84	10	we	we	PRON
ispiv-120	84	11	choose	choose	VERB
ispiv-120	84	12	γ	γ	X
ispiv-120	84	13	=	=	PROPN
ispiv-120	84	14	0.8	0.8	NUM
ispiv-120	84	15	.	.	PUNCT
ispiv-120	85	1	the	the	DET
ispiv-120	85	2	evaluation	evaluation	NOUN
ispiv-120	85	3	metric	metric	NOUN
ispiv-120	85	4	is	be	AUX
ispiv-120	85	5	the	the	DET
ispiv-120	85	6	averaged	average	VERB
ispiv-120	85	7	endpoint	endpoint	NOUN
ispiv-120	85	8	error	error	NOUN
ispiv-120	85	9	(	(	PUNCT
ispiv-120	85	10	aee	aee	PROPN
ispiv-120	85	11	)	)	PUNCT
ispiv-120	85	12	representing	represent	VERB
ispiv-120	85	13	the	the	DET
ispiv-120	85	14	euclidean	euclidean	ADJ
ispiv-120	85	15	distance	distance	NOUN
ispiv-120	85	16	between	between	ADP
ispiv-120	85	17	the	the	DET
ispiv-120	85	18	final	final	ADJ
ispiv-120	85	19	estimated	estimate	VERB
ispiv-120	85	20	(	(	PUNCT
ispiv-120	85	21	es	es	NOUN
ispiv-120	85	22	)	)	PUNCT
ispiv-120	85	23	of	of	ADP
ispiv-120	85	24	the	the	DET
ispiv-120	85	25	n	n	CCONJ
ispiv-120	85	26	-	-	PUNCT
ispiv-120	85	27	th	th	VERB
ispiv-120	85	28	iteration	iteration	NOUN
ispiv-120	85	29	and	and	CCONJ
ispiv-120	85	30	ground	ground	NOUN
ispiv-120	85	31	truth	truth	NOUN
ispiv-120	85	32	(	(	PUNCT
ispiv-120	85	33	gt	gt	INTJ
ispiv-120	85	34	)	)	PUNCT
ispiv-120	85	35	optical	optical	ADJ
ispiv-120	85	36	flow	flow	NOUN
ispiv-120	85	37	of	of	ADP
ispiv-120	85	38	the	the	DET
ispiv-120	85	39	test	test	NOUN
ispiv-120	85	40	case	case	NOUN
ispiv-120	85	41	being	be	AUX
ispiv-120	85	42	averaged	average	VERB
ispiv-120	85	43	over	over	ADP
ispiv-120	85	44	all	all	DET
ispiv-120	85	45	pixels	pixel	NOUN
ispiv-120	85	46	and	and	CCONJ
ispiv-120	85	47	reads	read	VERB
ispiv-120	85	48	aee	aee	PROPN
ispiv-120	85	49	=	=	SYM
ispiv-120	85	50	‖fes	‖fes	PROPN
ispiv-120	85	51	,	,	PUNCT
ispiv-120	85	52	n−	n−	PROPN
ispiv-120	85	53	fgt‖1	fgt‖1	NOUN
ispiv-120	85	54	.	.	PUNCT
ispiv-120	86	1	(	(	PUNCT
ispiv-120	86	2	2	2	X
ispiv-120	86	3	)	)	PUNCT
ispiv-120	86	4	the	the	DET
ispiv-120	86	5	computational	computational	ADJ
ispiv-120	86	6	graph	graph	NOUN
ispiv-120	86	7	of	of	ADP
ispiv-120	86	8	uraft	uraft	NOUN
ispiv-120	86	9	-	-	PUNCT
ispiv-120	86	10	piv	piv	NOUN
ispiv-120	86	11	is	be	AUX
ispiv-120	86	12	implemented	implement	VERB
ispiv-120	86	13	in	in	ADP
ispiv-120	86	14	the	the	DET
ispiv-120	86	15	open	open	ADJ
ispiv-120	86	16	source	source	NOUN
ispiv-120	86	17	framework	framework	NOUN
ispiv-120	86	18	pytorch	pytorch	NOUN
ispiv-120	86	19	(	(	PUNCT
ispiv-120	86	20	paszke	paszke	NOUN
ispiv-120	86	21	et	et	PROPN
ispiv-120	86	22	al	al	PROPN
ispiv-120	86	23	.	.	PROPN
ispiv-120	87	1	(	(	PUNCT
ispiv-120	87	2	2017	2017	NUM
ispiv-120	87	3	)	)	PUNCT
ispiv-120	87	4	)	)	PUNCT
ispiv-120	87	5	.	.	PUNCT
ispiv-120	88	1	during	during	ADP
ispiv-120	88	2	training	training	NOUN
ispiv-120	88	3	,	,	PUNCT
ispiv-120	88	4	we	we	PRON
ispiv-120	88	5	apply	apply	VERB
ispiv-120	88	6	an	an	DET
ispiv-120	88	7	adam	adam	NOUN
ispiv-120	88	8	-	-	PUNCT
ispiv-120	88	9	optimizer	optimizer	NOUN
ispiv-120	88	10	(	(	PUNCT
ispiv-120	88	11	kingma	kingma	PROPN
ispiv-120	88	12	and	and	CCONJ
ispiv-120	88	13	ba	ba	PROPN
ispiv-120	88	14	(	(	PUNCT
ispiv-120	88	15	2014	2014	NUM
ispiv-120	88	16	)	)	PUNCT
ispiv-120	88	17	)	)	PUNCT
ispiv-120	89	1	starting	start	VERB
ispiv-120	89	2	at	at	ADP
ispiv-120	89	3	an	an	DET
ispiv-120	89	4	initial	initial	ADJ
ispiv-120	89	5	learning	learning	NOUN
ispiv-120	89	6	rate	rate	NOUN
ispiv-120	89	7	ε0	ε0	NOUN
ispiv-120	89	8	=	=	NOUN
ispiv-120	89	9	0.0001	0.0001	NUM
ispiv-120	89	10	.	.	PUNCT
ispiv-120	90	1	furthermore	furthermore	ADV
ispiv-120	90	2	,	,	PUNCT
ispiv-120	90	3	the	the	DET
ispiv-120	90	4	learning	learning	NOUN
ispiv-120	90	5	rate	rate	NOUN
ispiv-120	90	6	is	be	AUX
ispiv-120	90	7	reduced	reduce	VERB
ispiv-120	90	8	by	by	ADP
ispiv-120	90	9	a	a	DET
ispiv-120	90	10	factor	factor	NOUN
ispiv-120	90	11	of	of	ADP
ispiv-120	90	12	five	five	NUM
ispiv-120	90	13	once	once	ADV
ispiv-120	90	14	the	the	DET
ispiv-120	90	15	evaluation	evaluation	NOUN
ispiv-120	90	16	metrics	metric	NOUN
ispiv-120	90	17	stopped	stop	VERB
ispiv-120	90	18	improving	improve	VERB
ispiv-120	90	19	for	for	ADP
ispiv-120	90	20	15	15	NUM
ispiv-120	90	21	consecutive	consecutive	ADJ
ispiv-120	90	22	epochs	epoch	NOUN
ispiv-120	90	23	.	.	PUNCT
ispiv-120	91	1	the	the	DET
ispiv-120	91	2	minimum	minimum	ADJ
ispiv-120	91	3	learning	learning	NOUN
ispiv-120	91	4	rate	rate	NOUN
ispiv-120	91	5	is	be	AUX
ispiv-120	91	6	set	set	VERB
ispiv-120	91	7	to	to	ADP
ispiv-120	91	8	εmin	εmin	NOUN
ispiv-120	91	9	=	=	SYM
ispiv-120	91	10	10−8	10−8	NUM
ispiv-120	91	11	.	.	PUNCT
ispiv-120	92	1	all	all	DET
ispiv-120	92	2	computations	computation	NOUN
ispiv-120	92	3	are	be	AUX
ispiv-120	92	4	run	run	VERB
ispiv-120	92	5	on	on	ADP
ispiv-120	92	6	multiple	multiple	ADJ
ispiv-120	92	7	gpu	gpu	NOUN
ispiv-120	92	8	nodes	node	NOUN
ispiv-120	92	9	simultaneously	simultaneously	ADV
ispiv-120	92	10	each	each	PRON
ispiv-120	92	11	equipped	equip	VERB
ispiv-120	92	12	with	with	ADP
ispiv-120	92	13	four	four	NUM
ispiv-120	92	14	nvidia	nvidia	PROPN
ispiv-120	92	15	a100	a100	PROPN
ispiv-120	92	16	.	.	PUNCT
ispiv-120	93	1	we	we	PRON
ispiv-120	93	2	compare	compare	VERB
ispiv-120	93	3	the	the	DET
ispiv-120	93	4	test	test	NOUN
ispiv-120	93	5	results	result	NOUN
ispiv-120	93	6	of	of	ADP
ispiv-120	93	7	uraft	uraft	NOUN
ispiv-120	93	8	-	-	PUNCT
ispiv-120	93	9	piv	piv	NOUN
ispiv-120	93	10	to	to	ADP
ispiv-120	93	11	our	our	PRON
ispiv-120	93	12	state	state	NOUN
ispiv-120	93	13	-	-	PUNCT
ispiv-120	93	14	of	of	ADP
ispiv-120	93	15	-	-	PUNCT
ispiv-120	93	16	the	the	DET
ispiv-120	93	17	-	-	PUNCT
ispiv-120	93	18	art	art	NOUN
ispiv-120	93	19	inhouse	inhouse	NOUN
ispiv-120	93	20	code	code	NOUN
ispiv-120	93	21	pascalpiv	pascalpiv	NOUN
ispiv-120	93	22	.	.	PUNCT
ispiv-120	94	1	to	to	PART
ispiv-120	94	2	allow	allow	VERB
ispiv-120	94	3	particle	particle	NOUN
ispiv-120	94	4	shifts	shift	NOUN
ispiv-120	94	5	greater	great	ADJ
ispiv-120	94	6	than	than	ADP
ispiv-120	94	7	half	half	DET
ispiv-120	94	8	the	the	DET
ispiv-120	94	9	interrogation	interrogation	NOUN
ispiv-120	94	10	window	window	NOUN
ispiv-120	94	11	size	size	NOUN
ispiv-120	94	12	,	,	PUNCT
ispiv-120	94	13	the	the	DET
ispiv-120	94	14	image	image	NOUN
ispiv-120	94	15	evaluation	evaluation	NOUN
ispiv-120	94	16	uses	use	VERB
ispiv-120	94	17	a	a	DET
ispiv-120	94	18	multi	multi	ADJ
ispiv-120	94	19	-	-	ADJ
ispiv-120	94	20	grid	grid	ADJ
ispiv-120	94	21	approach	approach	NOUN
ispiv-120	94	22	with	with	ADP
ispiv-120	94	23	integer	integer	NOUN
ispiv-120	94	24	window	window	NOUN
ispiv-120	94	25	shift	shift	NOUN
ispiv-120	94	26	to	to	PART
ispiv-120	94	27	get	get	VERB
ispiv-120	94	28	an	an	DET
ispiv-120	94	29	initial	initial	ADJ
ispiv-120	94	30	displacement	displacement	ADJ
ispiv-120	94	31	field	field	NOUN
ispiv-120	94	32	.	.	PUNCT
ispiv-120	95	1	then	then	ADV
ispiv-120	95	2	,	,	PUNCT
ispiv-120	95	3	the	the	DET
ispiv-120	95	4	displacement	displacement	ADJ
ispiv-120	95	5	field	field	NOUN
ispiv-120	95	6	is	be	AUX
ispiv-120	95	7	refined	refine	VERB
ispiv-120	95	8	using	use	VERB
ispiv-120	95	9	an	an	DET
ispiv-120	95	10	iterative	iterative	NOUN
ispiv-120	95	11	predictor	predictor	NOUN
ispiv-120	95	12	-	-	PUNCT
ispiv-120	95	13	corrector	corrector	NOUN
ispiv-120	95	14	scheme	scheme	NOUN
ispiv-120	95	15	with	with	ADP
ispiv-120	95	16	subpixel	subpixel	ADJ
ispiv-120	95	17	accurate	accurate	ADJ
ispiv-120	95	18	image	image	NOUN
ispiv-120	95	19	deformation	deformation	NOUN
ispiv-120	95	20	according	accord	VERB
ispiv-120	95	21	to	to	ADP
ispiv-120	95	22	the	the	DET
ispiv-120	95	23	procedure	procedure	NOUN
ispiv-120	95	24	described	describe	VERB
ispiv-120	95	25	in	in	ADP
ispiv-120	95	26	astarita	astarita	PROPN
ispiv-120	95	27	and	and	CCONJ
ispiv-120	95	28	cardone	cardone	PROPN
ispiv-120	95	29	(	(	PUNCT
ispiv-120	95	30	2005	2005	NUM
ispiv-120	95	31	)	)	PUNCT
ispiv-120	95	32	.	.	PUNCT
ispiv-120	96	1	the	the	DET
ispiv-120	96	2	initial	initial	ADJ
ispiv-120	96	3	displacement	displacement	NOUN
ispiv-120	96	4	is	be	AUX
ispiv-120	96	5	interpolated	interpolate	VERB
ispiv-120	96	6	for	for	ADP
ispiv-120	96	7	each	each	DET
ispiv-120	96	8	pixel	pixel	NOUN
ispiv-120	96	9	of	of	ADP
ispiv-120	96	10	the	the	DET
ispiv-120	96	11	image	image	NOUN
ispiv-120	96	12	using	use	VERB
ispiv-120	96	13	a	a	DET
ispiv-120	96	14	third	third	ADJ
ispiv-120	96	15	-	-	PUNCT
ispiv-120	96	16	order	order	NOUN
ispiv-120	96	17	b	b	X
ispiv-120	96	18	-	-	PUNCT
ispiv-120	96	19	spline	spline	NOUN
ispiv-120	96	20	interpolation	interpolation	NOUN
ispiv-120	96	21	.	.	PUNCT
ispiv-120	97	1	both	both	DET
ispiv-120	97	2	images	image	NOUN
ispiv-120	97	3	are	be	AUX
ispiv-120	97	4	deformed	deform	VERB
ispiv-120	97	5	by	by	ADP
ispiv-120	97	6	half	half	DET
ispiv-120	97	7	the	the	DET
ispiv-120	97	8	displacement	displacement	NOUN
ispiv-120	97	9	to	to	PART
ispiv-120	97	10	get	get	VERB
ispiv-120	97	11	a	a	DET
ispiv-120	97	12	second	second	ADJ
ispiv-120	97	13	-	-	PUNCT
ispiv-120	97	14	order	order	NOUN
ispiv-120	97	15	accurate	accurate	ADJ
ispiv-120	97	16	estimate	estimate	NOUN
ispiv-120	97	17	of	of	ADP
ispiv-120	97	18	the	the	DET
ispiv-120	97	19	displacement	displacement	ADJ
ispiv-120	97	20	field	field	NOUN
ispiv-120	97	21	.	.	PUNCT
ispiv-120	98	1	the	the	DET
ispiv-120	98	2	image	image	NOUN
ispiv-120	98	3	interpolation	interpolation	NOUN
ispiv-120	98	4	uses	use	VERB
ispiv-120	98	5	lanczos	lanczo	NOUN
ispiv-120	98	6	resampling	resample	VERB
ispiv-120	98	7	,	,	PUNCT
ispiv-120	98	8	i.e.	i.e.	X
ispiv-120	98	9	,	,	PUNCT
ispiv-120	98	10	lanczos	lanczo	VERB
ispiv-120	98	11	windowed	windowe	VERB
ispiv-120	98	12	cardinal	cardinal	ADJ
ispiv-120	98	13	sine	sine	ADJ
ispiv-120	98	14	interpolation	interpolation	NOUN
ispiv-120	98	15	,	,	PUNCT
ispiv-120	98	16	incorporating	incorporate	VERB
ispiv-120	98	17	the	the	DET
ispiv-120	98	18	neighboring	neighboring	NOUN
ispiv-120	98	19	8×	8×	NUM
ispiv-120	98	20	8px2	8px2	NUM
ispiv-120	98	21	.	.	PUNCT
ispiv-120	99	1	an	an	DET
ispiv-120	99	2	integral	integral	ADJ
ispiv-120	99	3	velocity	velocity	NOUN
ispiv-120	99	4	predictor	predictor	NOUN
ispiv-120	99	5	is	be	AUX
ispiv-120	99	6	used	use	VERB
ispiv-120	99	7	to	to	PART
ispiv-120	99	8	ensure	ensure	VERB
ispiv-120	99	9	convergence	convergence	NOUN
ispiv-120	99	10	of	of	ADP
ispiv-120	99	11	the	the	DET
ispiv-120	99	12	iterative	iterative	NOUN
ispiv-120	99	13	scheme	scheme	NOUN
ispiv-120	99	14	(	(	PUNCT
ispiv-120	99	15	schrijer	schrijer	NOUN
ispiv-120	99	16	and	and	CCONJ
ispiv-120	99	17	scarano	scarano	PROPN
ispiv-120	99	18	(	(	PUNCT
ispiv-120	99	19	2008	2008	NUM
ispiv-120	99	20	)	)	PUNCT
ispiv-120	99	21	)	)	PUNCT
ispiv-120	99	22	.	.	PUNCT
ispiv-120	100	1	hence	hence	ADV
ispiv-120	100	2	,	,	PUNCT
ispiv-120	100	3	the	the	DET
ispiv-120	100	4	predictor	predictor	NOUN
ispiv-120	100	5	is	be	AUX
ispiv-120	100	6	the	the	DET
ispiv-120	100	7	weighted	weighted	ADJ
ispiv-120	100	8	average	average	NOUN
ispiv-120	100	9	of	of	ADP
ispiv-120	100	10	the	the	DET
ispiv-120	100	11	per	per	ADP
ispiv-120	100	12	-	-	PUNCT
ispiv-120	100	13	pixel	pixel	NOUN
ispiv-120	100	14	displacement	displacement	NOUN
ispiv-120	100	15	over	over	ADP
ispiv-120	100	16	the	the	DET
ispiv-120	100	17	interrogation	interrogation	NOUN
ispiv-120	100	18	window	window	NOUN
ispiv-120	100	19	.	.	PUNCT
ispiv-120	101	1	the	the	DET
ispiv-120	101	2	corrector	corrector	NOUN
ispiv-120	101	3	is	be	AUX
ispiv-120	101	4	determined	determine	VERB
ispiv-120	101	5	by	by	ADP
ispiv-120	101	6	evaluating	evaluate	VERB
ispiv-120	101	7	the	the	DET
ispiv-120	101	8	cross	cross	ADJ
ispiv-120	101	9	-	-	ADJ
ispiv-120	101	10	correlation	correlation	ADJ
ispiv-120	101	11	function	function	NOUN
ispiv-120	101	12	between	between	ADP
ispiv-120	101	13	both	both	DET
ispiv-120	101	14	exposures	exposure	NOUN
ispiv-120	101	15	with	with	ADP
ispiv-120	101	16	a	a	DET
ispiv-120	101	17	3	3	NUM
ispiv-120	101	18	-	-	PUNCT
ispiv-120	101	19	point	point	NOUN
ispiv-120	101	20	gaussian	gaussian	ADJ
ispiv-120	101	21	peak	peak	NOUN
ispiv-120	101	22	estimator	estimator	NOUN
ispiv-120	101	23	(	(	PUNCT
ispiv-120	101	24	raffel	raffel	PROPN
ispiv-120	101	25	et	et	NOUN
ispiv-120	101	26	al	al	PROPN
ispiv-120	101	27	.	.	PUNCT
ispiv-120	102	1	(	(	PUNCT
ispiv-120	102	2	2018	2018	NUM
ispiv-120	102	3	)	)	PUNCT
ispiv-120	102	4	)	)	PUNCT
ispiv-120	102	5	.	.	PUNCT
ispiv-120	103	1	the	the	DET
ispiv-120	103	2	initial	initial	ADJ
ispiv-120	103	3	window	window	NOUN
ispiv-120	103	4	size	size	NOUN
ispiv-120	103	5	for	for	ADP
ispiv-120	103	6	the	the	DET
ispiv-120	103	7	multi	multi	ADJ
ispiv-120	103	8	-	-	ADJ
ispiv-120	103	9	grid	grid	ADJ
ispiv-120	103	10	evaluation	evaluation	NOUN
ispiv-120	103	11	is	be	AUX
ispiv-120	103	12	128×	128×	NUM
ispiv-120	103	13	128px2	128px2	NUM
ispiv-120	103	14	and	and	CCONJ
ispiv-120	103	15	the	the	DET
ispiv-120	103	16	window	window	NOUN
ispiv-120	103	17	size	size	NOUN
ispiv-120	103	18	used	use	VERB
ispiv-120	103	19	for	for	ADP
ispiv-120	103	20	the	the	DET
ispiv-120	103	21	iterative	iterative	ADJ
ispiv-120	103	22	piv	piv	NOUN
ispiv-120	103	23	evaluation	evaluation	NOUN
ispiv-120	103	24	is	be	AUX
ispiv-120	103	25	32×	32×	NUM
ispiv-120	103	26	32px2	32px2	NOUN
ispiv-120	103	27	with	with	ADP
ispiv-120	103	28	75	75	NUM
ispiv-120	103	29	%	%	NOUN
ispiv-120	103	30	overlap	overlap	NOUN
ispiv-120	103	31	.	.	PUNCT
ispiv-120	104	1	the	the	DET
ispiv-120	104	2	windows	window	NOUN
ispiv-120	104	3	of	of	ADP
ispiv-120	104	4	the	the	DET
ispiv-120	104	5	iterative	iterative	ADJ
ispiv-120	104	6	piv	piv	NOUN
ispiv-120	104	7	evaluation	evaluation	NOUN
ispiv-120	104	8	are	be	AUX
ispiv-120	104	9	weighted	weight	VERB
ispiv-120	104	10	by	by	ADP
ispiv-120	104	11	a	a	DET
ispiv-120	104	12	gaussian	gaussian	ADJ
ispiv-120	104	13	window	window	NOUN
ispiv-120	104	14	with	with	ADP
ispiv-120	104	15	σ=	σ=	PROPN
ispiv-120	104	16	0.4	0.4	NUM
ispiv-120	104	17	.	.	PUNCT
ispiv-120	105	1	between	between	ADP
ispiv-120	105	2	the	the	DET
ispiv-120	105	3	iterations	iteration	NOUN
ispiv-120	105	4	,	,	PUNCT
ispiv-120	105	5	outliers	outlier	NOUN
ispiv-120	105	6	in	in	ADP
ispiv-120	105	7	the	the	DET
ispiv-120	105	8	vector	vector	NOUN
ispiv-120	105	9	field	field	NOUN
ispiv-120	105	10	are	be	AUX
ispiv-120	105	11	detected	detect	VERB
ispiv-120	105	12	using	use	VERB
ispiv-120	105	13	a	a	DET
ispiv-120	105	14	normalized	normalize	VERB
ispiv-120	105	15	median	median	ADJ
ispiv-120	105	16	test	test	NOUN
ispiv-120	105	17	and	and	CCONJ
ispiv-120	105	18	are	be	AUX
ispiv-120	105	19	replaced	replace	VERB
ispiv-120	105	20	by	by	ADP
ispiv-120	105	21	interpolated	interpolate	VERB
ispiv-120	105	22	values	value	NOUN
ispiv-120	105	23	.	.	PUNCT
ispiv-120	106	1	a	a	DET
ispiv-120	106	2	total	total	NOUN
ispiv-120	106	3	of	of	ADP
ispiv-120	106	4	three	three	NUM
ispiv-120	106	5	multi	multi	ADJ
ispiv-120	106	6	-	-	ADJ
ispiv-120	106	7	grid	grid	ADJ
ispiv-120	106	8	steps	step	NOUN
ispiv-120	106	9	and	and	CCONJ
ispiv-120	106	10	five	five	NUM
ispiv-120	106	11	steps	step	NOUN
ispiv-120	106	12	of	of	ADP
ispiv-120	106	13	the	the	DET
ispiv-120	106	14	iterative	iterative	NOUN
ispiv-120	106	15	evaluation	evaluation	NOUN
ispiv-120	106	16	are	be	AUX
ispiv-120	106	17	performed	perform	VERB
ispiv-120	106	18	.	.	PUNCT
ispiv-120	107	1	3	3	NUM
ispiv-120	107	2	results	result	NOUN
ispiv-120	107	3	in	in	ADP
ispiv-120	107	4	this	this	DET
ispiv-120	107	5	section	section	NOUN
ispiv-120	107	6	,	,	PUNCT
ispiv-120	107	7	we	we	PRON
ispiv-120	107	8	highlight	highlight	VERB
ispiv-120	107	9	the	the	DET
ispiv-120	107	10	performance	performance	NOUN
ispiv-120	107	11	of	of	ADP
ispiv-120	107	12	uraft	uraft	NOUN
ispiv-120	107	13	-	-	PUNCT
ispiv-120	107	14	piv	piv	NOUN
ispiv-120	107	15	based	base	VERB
ispiv-120	107	16	on	on	ADP
ispiv-120	107	17	two	two	NUM
ispiv-120	107	18	learning	learning	NOUN
ispiv-120	107	19	tasks	task	NOUN
ispiv-120	107	20	representing	represent	VERB
ispiv-120	107	21	different	different	ADJ
ispiv-120	107	22	image	image	NOUN
ispiv-120	107	23	and	and	CCONJ
ispiv-120	107	24	flow	flow	NOUN
ispiv-120	107	25	conditions	condition	NOUN
ispiv-120	107	26	.	.	PUNCT
ispiv-120	108	1	during	during	ADP
ispiv-120	108	2	the	the	DET
ispiv-120	108	3	first	first	ADJ
ispiv-120	108	4	task	task	NOUN
ispiv-120	108	5	,	,	PUNCT
ispiv-120	108	6	we	we	PRON
ispiv-120	108	7	trained	train	VERB
ispiv-120	108	8	the	the	DET
ispiv-120	108	9	network	network	NOUN
ispiv-120	108	10	on	on	ADP
ispiv-120	108	11	a	a	DET
ispiv-120	108	12	synthetic	synthetic	ADJ
ispiv-120	108	13	particle	particle	NOUN
ispiv-120	108	14	image	image	NOUN
ispiv-120	108	15	dataset	dataset	NOUN
ispiv-120	108	16	consisting	consist	VERB
ispiv-120	108	17	of	of	ADP
ispiv-120	108	18	five	five	NUM
ispiv-120	108	19	categories	category	NOUN
ispiv-120	108	20	which	which	PRON
ispiv-120	108	21	was	be	AUX
ispiv-120	108	22	introduced	introduce	VERB
ispiv-120	108	23	in	in	ADP
ispiv-120	108	24	cai	cai	PROPN
ispiv-120	108	25	et	et	PROPN
ispiv-120	108	26	al	al	PROPN
ispiv-120	108	27	.	.	PROPN
ispiv-120	108	28	(	(	PUNCT
ispiv-120	108	29	2019b	2019b	NUM
ispiv-120	108	30	)	)	PUNCT
ispiv-120	108	31	.	.	PUNCT
ispiv-120	109	1	while	while	SCONJ
ispiv-120	109	2	this	this	DET
ispiv-120	109	3	data	data	NOUN
ispiv-120	109	4	is	be	AUX
ispiv-120	109	5	interesting	interesting	ADJ
ispiv-120	109	6	and	and	CCONJ
ispiv-120	109	7	serves	serve	VERB
ispiv-120	109	8	as	as	ADP
ispiv-120	109	9	a	a	DET
ispiv-120	109	10	benchmark	benchmark	NOUN
ispiv-120	109	11	,	,	PUNCT
ispiv-120	109	12	we	we	PRON
ispiv-120	109	13	note	note	VERB
ispiv-120	109	14	that	that	SCONJ
ispiv-120	109	15	experimental	experimental	ADJ
ispiv-120	109	16	images	image	NOUN
ispiv-120	109	17	barely	barely	ADV
ispiv-120	109	18	achieve	achieve	VERB
ispiv-120	109	19	this	this	DET
ispiv-120	109	20	idealised	idealise	VERB
ispiv-120	109	21	quality	quality	NOUN
ispiv-120	109	22	in	in	ADP
ispiv-120	109	23	realistic	realistic	ADJ
ispiv-120	109	24	piv	piv	NOUN
ispiv-120	109	25	experiments	experiment	NOUN
ispiv-120	109	26	.	.	PUNCT
ispiv-120	110	1	as	as	ADP
ispiv-120	110	2	a	a	DET
ispiv-120	110	3	result	result	NOUN
ispiv-120	110	4	,	,	PUNCT
ispiv-120	110	5	inference	inference	NOUN
ispiv-120	110	6	runs	run	NOUN
ispiv-120	110	7	of	of	ADP
ispiv-120	110	8	networks	network	NOUN
ispiv-120	110	9	trained	train	VERB
ispiv-120	110	10	on	on	ADP
ispiv-120	110	11	this	this	DET
ispiv-120	110	12	dataset	dataset	NOUN
ispiv-120	110	13	hardly	hardly	ADV
ispiv-120	110	14	predict	predict	VERB
ispiv-120	110	15	correct	correct	ADJ
ispiv-120	110	16	displacements	displacement	NOUN
ispiv-120	110	17	for	for	ADP
ispiv-120	110	18	real	real	ADJ
ispiv-120	110	19	-	-	PUNCT
ispiv-120	110	20	world	world	NOUN
ispiv-120	110	21	measurements	measurement	NOUN
ispiv-120	110	22	,	,	PUNCT
ispiv-120	110	23	likely	likely	ADJ
ispiv-120	110	24	due	due	ADP
ispiv-120	110	25	to	to	ADP
ispiv-120	110	26	the	the	DET
ispiv-120	110	27	strong	strong	ADJ
ispiv-120	110	28	mismatch	mismatch	NOUN
ispiv-120	110	29	between	between	ADP
ispiv-120	110	30	training	training	NOUN
ispiv-120	110	31	and	and	CCONJ
ispiv-120	110	32	test	test	NOUN
ispiv-120	110	33	time	time	NOUN
ispiv-120	110	34	distribution	distribution	NOUN
ispiv-120	110	35	.	.	PUNCT
ispiv-120	111	1	to	to	PART
ispiv-120	111	2	study	study	VERB
ispiv-120	111	3	the	the	DET
ispiv-120	111	4	performance	performance	NOUN
ispiv-120	111	5	using	use	VERB
ispiv-120	111	6	images	image	NOUN
ispiv-120	111	7	like	like	ADP
ispiv-120	111	8	those	those	PRON
ispiv-120	111	9	obtained	obtain	VERB
ispiv-120	111	10	in	in	ADP
ispiv-120	111	11	many	many	ADJ
ispiv-120	111	12	real	real	ADJ
ispiv-120	111	13	-	-	PUNCT
ispiv-120	111	14	world	world	NOUN
ispiv-120	111	15	applications	application	NOUN
ispiv-120	111	16	,	,	PUNCT
ispiv-120	111	17	we	we	PRON
ispiv-120	111	18	trained	train	VERB
ispiv-120	111	19	our	our	PRON
ispiv-120	111	20	network	network	NOUN
ispiv-120	111	21	of	of	ADP
ispiv-120	111	22	the	the	DET
ispiv-120	111	23	second	second	ADJ
ispiv-120	111	24	learning	learning	NOUN
ispiv-120	111	25	task	task	NOUN
ispiv-120	111	26	on	on	ADP
ispiv-120	111	27	a	a	DET
ispiv-120	111	28	more	more	ADV
ispiv-120	111	29	realistic	realistic	ADJ
ispiv-120	111	30	dataset	dataset	NOUN
ispiv-120	111	31	introduced	introduce	VERB
ispiv-120	111	32	in	in	ADP
ispiv-120	111	33	lagemann	lagemann	PROPN
ispiv-120	111	34	et	et	PROPN
ispiv-120	111	35	al	al	PROPN
ispiv-120	111	36	.	.	PROPN
ispiv-120	112	1	(	(	PUNCT
ispiv-120	112	2	2021	2021	NUM
ispiv-120	112	3	)	)	PUNCT
ispiv-120	112	4	and	and	CCONJ
ispiv-120	112	5	compare	compare	VERB
ispiv-120	112	6	inference	inference	NOUN
ispiv-120	112	7	results	result	NOUN
ispiv-120	112	8	of	of	ADP
ispiv-120	112	9	uraft	uraft	NOUN
ispiv-120	112	10	-	-	PUNCT
ispiv-120	112	11	piv	piv	NOUN
ispiv-120	112	12	on	on	ADP
ispiv-120	112	13	synthetic	synthetic	ADJ
ispiv-120	112	14	and	and	CCONJ
ispiv-120	112	15	experimental	experimental	ADJ
ispiv-120	112	16	piv	piv	NOUN
ispiv-120	112	17	images	image	NOUN
ispiv-120	112	18	to	to	ADP
ispiv-120	112	19	neural	neural	ADJ
ispiv-120	112	20	piv	piv	NOUN
ispiv-120	112	21	processing	processing	NOUN
ispiv-120	112	22	competitors	competitor	NOUN
ispiv-120	112	23	and	and	CCONJ
ispiv-120	112	24	our	our	PRON
ispiv-120	112	25	cross	cross	ADJ
ispiv-120	112	26	-	-	NOUN
ispiv-120	112	27	correlation	correlation	ADJ
ispiv-120	112	28	based	base	VERB
ispiv-120	112	29	algorithm	algorithm	NOUN
ispiv-120	112	30	pascalpiv	pascalpiv	NOUN
ispiv-120	112	31	.	.	PUNCT
ispiv-120	113	1	3.1	3.1	NUM
ispiv-120	113	2	learning	learning	NOUN
ispiv-120	113	3	task	task	NOUN
ispiv-120	113	4	i	i	PRON
ispiv-120	113	5	:	:	PUNCT
ispiv-120	113	6	idealised	idealise	VERB
ispiv-120	113	7	piv	piv	NOUN
ispiv-120	113	8	database	database	NOUN
ispiv-120	113	9	the	the	DET
ispiv-120	113	10	networks	network	NOUN
ispiv-120	113	11	were	be	AUX
ispiv-120	113	12	trained	train	VERB
ispiv-120	113	13	on	on	ADP
ispiv-120	113	14	synthetic	synthetic	ADJ
ispiv-120	113	15	particle	particle	NOUN
ispiv-120	113	16	image	image	NOUN
ispiv-120	113	17	datasets	dataset	NOUN
ispiv-120	113	18	consisting	consist	VERB
ispiv-120	113	19	of	of	ADP
ispiv-120	113	20	five	five	NUM
ispiv-120	113	21	categories	category	NOUN
ispiv-120	113	22	representing	represent	VERB
ispiv-120	113	23	well	well	ADV
ispiv-120	113	24	-	-	PUNCT
ispiv-120	113	25	known	know	VERB
ispiv-120	113	26	and	and	CCONJ
ispiv-120	113	27	realistic	realistic	ADJ
ispiv-120	113	28	flow	flow	NOUN
ispiv-120	113	29	cases	case	NOUN
ispiv-120	113	30	:	:	PUNCT
ispiv-120	113	31	(	(	PUNCT
ispiv-120	113	32	1	1	X
ispiv-120	113	33	)	)	PUNCT
ispiv-120	113	34	direct	direct	ADJ
ispiv-120	113	35	numerical	numerical	ADJ
ispiv-120	113	36	simulations	simulation	NOUN
ispiv-120	113	37	(	(	PUNCT
ispiv-120	113	38	dns	dns	NOUN
ispiv-120	113	39	)	)	PUNCT
ispiv-120	113	40	of	of	ADP
ispiv-120	113	41	isotropic	isotropic	ADJ
ispiv-120	113	42	turbulence	turbulence	NOUN
ispiv-120	113	43	;	;	PUNCT
ispiv-120	113	44	(	(	PUNCT
ispiv-120	113	45	2	2	X
ispiv-120	113	46	)	)	PUNCT
ispiv-120	113	47	flows	flow	NOUN
ispiv-120	113	48	along	along	ADP
ispiv-120	113	49	a	a	DET
ispiv-120	113	50	backward	backward	ADJ
ispiv-120	113	51	facing	face	VERB
ispiv-120	113	52	step	step	NOUN
ispiv-120	113	53	;	;	PUNCT
ispiv-120	113	54	(	(	PUNCT
ispiv-120	113	55	3	3	X
ispiv-120	113	56	)	)	PUNCT
ispiv-120	113	57	two	two	NUM
ispiv-120	113	58	-	-	PUNCT
ispiv-120	113	59	dimensional	dimensional	ADJ
ispiv-120	113	60	flows	flow	NOUN
ispiv-120	113	61	past	past	ADP
ispiv-120	113	62	a	a	DET
ispiv-120	113	63	cylinder	cylinder	NOUN
ispiv-120	113	64	;	;	PUNCT
ispiv-120	113	65	(	(	PUNCT
ispiv-120	113	66	4	4	X
ispiv-120	113	67	)	)	PUNCT
ispiv-120	113	68	dns	dns	NOUN
ispiv-120	113	69	of	of	ADP
ispiv-120	113	70	a	a	DET
ispiv-120	113	71	turbulent	turbulent	ADJ
ispiv-120	113	72	channel	channel	NOUN
ispiv-120	113	73	flow	flow	NOUN
ispiv-120	113	74	;	;	PUNCT
ispiv-120	113	75	and	and	CCONJ
ispiv-120	113	76	(	(	PUNCT
ispiv-120	113	77	5	5	X
ispiv-120	113	78	)	)	PUNCT
ispiv-120	113	79	simulations	simulation	NOUN
ispiv-120	113	80	of	of	ADP
ispiv-120	113	81	a	a	DET
ispiv-120	113	82	sea	sea	NOUN
ispiv-120	113	83	surface	surface	NOUN
ispiv-120	113	84	flow	flow	NOUN
ispiv-120	113	85	driven	drive	VERB
ispiv-120	113	86	by	by	ADP
ispiv-120	113	87	a	a	DET
ispiv-120	113	88	surface	surface	NOUN
ispiv-120	113	89	-	-	PUNCT
ispiv-120	113	90	quasi	quasi	NOUN
ispiv-120	113	91	-	-	ADJ
ispiv-120	113	92	geostrophic	geostrophic	ADJ
ispiv-120	113	93	(	(	PUNCT
ispiv-120	113	94	sqg	sqg	NOUN
ispiv-120	113	95	)	)	PUNCT
ispiv-120	113	96	model	model	NOUN
ispiv-120	113	97	.	.	PUNCT
ispiv-120	114	1	this	this	DET
ispiv-120	114	2	data	data	NOUN
ispiv-120	114	3	is	be	AUX
ispiv-120	114	4	from	from	ADP
ispiv-120	114	5	a	a	DET
ispiv-120	114	6	public	public	ADJ
ispiv-120	114	7	database	database	NOUN
ispiv-120	114	8	and	and	CCONJ
ispiv-120	114	9	is	be	AUX
ispiv-120	114	10	used	use	VERB
ispiv-120	114	11	to	to	PART
ispiv-120	114	12	benchmark	benchmark	VERB
ispiv-120	114	13	neural	neural	ADJ
ispiv-120	114	14	piv	piv	NOUN
ispiv-120	114	15	processing	processing	NOUN
ispiv-120	114	16	methods	method	NOUN
ispiv-120	114	17	.	.	PUNCT
ispiv-120	115	1	in	in	ADP
ispiv-120	115	2	total	total	NOUN
ispiv-120	115	3	,	,	PUNCT
ispiv-120	115	4	the	the	DET
ispiv-120	115	5	resource	resource	NOUN
ispiv-120	115	6	contains	contain	VERB
ispiv-120	115	7	15,050	15,050	NUM
ispiv-120	115	8	particle	particle	NOUN
ispiv-120	115	9	image	image	NOUN
ispiv-120	115	10	pairs	pair	NOUN
ispiv-120	115	11	with	with	ADP
ispiv-120	115	12	corresponding	corresponding	ADJ
ispiv-120	115	13	ground	ground	NOUN
ispiv-120	115	14	truth	truth	NOUN
ispiv-120	115	15	flow	flow	NOUN
ispiv-120	115	16	fields	field	NOUN
ispiv-120	115	17	and	and	CCONJ
ispiv-120	115	18	is	be	AUX
ispiv-120	115	19	divided	divide	VERB
ispiv-120	115	20	into	into	ADP
ispiv-120	115	21	12,000	12,000	NUM
ispiv-120	115	22	training	training	NOUN
ispiv-120	115	23	and	and	CCONJ
ispiv-120	115	24	3,050	3,050	NUM
ispiv-120	115	25	test	test	NOUN
ispiv-120	115	26	images	image	NOUN
ispiv-120	115	27	across	across	ADP
ispiv-120	115	28	all	all	DET
ispiv-120	115	29	flow	flow	NOUN
ispiv-120	115	30	categories	category	NOUN
ispiv-120	115	31	.	.	PUNCT
ispiv-120	116	1	further	further	ADJ
ispiv-120	116	2	characteristics	characteristic	NOUN
ispiv-120	116	3	include	include	VERB
ispiv-120	116	4	a	a	DET
ispiv-120	116	5	very	very	ADV
ispiv-120	116	6	high	high	ADJ
ispiv-120	116	7	particle	particle	NOUN
ispiv-120	116	8	density	density	NOUN
ispiv-120	116	9	,	,	PUNCT
ispiv-120	116	10	a	a	DET
ispiv-120	116	11	maximum	maximum	ADJ
ispiv-120	116	12	particle	particle	NOUN
ispiv-120	116	13	displacement	displacement	NOUN
ispiv-120	116	14	of±10px	of±10px	NOUN
ispiv-120	116	15	,	,	PUNCT
ispiv-120	116	16	and	and	CCONJ
ispiv-120	116	17	particle	particle	NOUN
ispiv-120	116	18	peak	peak	NOUN
ispiv-120	116	19	intensities	intensity	NOUN
ispiv-120	116	20	ranging	range	VERB
ispiv-120	116	21	from	from	ADP
ispiv-120	116	22	200	200	NUM
ispiv-120	116	23	to	to	PART
ispiv-120	116	24	255	255	NUM
ispiv-120	116	25	counts	count	NOUN
ispiv-120	116	26	within	within	ADP
ispiv-120	116	27	an	an	DET
ispiv-120	116	28	8	8	NUM
ispiv-120	116	29	-	-	PUNCT
ispiv-120	116	30	bit	bit	NOUN
ispiv-120	116	31	grayscale	grayscale	NOUN
ispiv-120	116	32	resembling	resemble	VERB
ispiv-120	116	33	images	image	NOUN
ispiv-120	116	34	in	in	ADP
ispiv-120	116	35	perfect	perfect	ADJ
ispiv-120	116	36	experimental	experimental	ADJ
ispiv-120	116	37	conditions	condition	NOUN
ispiv-120	116	38	.	.	PUNCT
ispiv-120	117	1	details	detail	NOUN
ispiv-120	117	2	can	can	AUX
ispiv-120	117	3	be	be	AUX
ispiv-120	117	4	found	find	VERB
ispiv-120	117	5	in	in	ADP
ispiv-120	117	6	cai	cai	PROPN
ispiv-120	117	7	et	et	PROPN
ispiv-120	117	8	al	al	PROPN
ispiv-120	117	9	.	.	PROPN
ispiv-120	117	10	(	(	PUNCT
ispiv-120	117	11	2019b	2019b	NUM
ispiv-120	117	12	)	)	PUNCT
ispiv-120	117	13	.	.	PUNCT
ispiv-120	118	1	table	table	NOUN
ispiv-120	118	2	1	1	NUM
ispiv-120	118	3	illustrates	illustrate	VERB
ispiv-120	118	4	inference	inference	NOUN
ispiv-120	118	5	results	result	NOUN
ispiv-120	118	6	on	on	ADP
ispiv-120	118	7	the	the	DET
ispiv-120	118	8	test	test	NOUN
ispiv-120	118	9	dataset	dataset	NOUN
ispiv-120	118	10	of	of	ADP
ispiv-120	118	11	learning	learn	VERB
ispiv-120	118	12	task	task	NOUN
ispiv-120	118	13	i	i	PRON
ispiv-120	118	14	for	for	ADP
ispiv-120	118	15	various	various	ADJ
ispiv-120	118	16	neural	neural	ADJ
ispiv-120	118	17	network	network	NOUN
ispiv-120	118	18	and	and	CCONJ
ispiv-120	118	19	cross	cross	NOUN
ispiv-120	118	20	-	-	NOUN
ispiv-120	118	21	correlation	correlation	NOUN
ispiv-120	118	22	based	base	VERB
ispiv-120	118	23	piv	piv	NOUN
ispiv-120	118	24	processing	processing	NOUN
ispiv-120	118	25	methods	method	NOUN
ispiv-120	118	26	.	.	PUNCT
ispiv-120	119	1	in	in	ADP
ispiv-120	119	2	the	the	DET
ispiv-120	119	3	context	context	NOUN
ispiv-120	119	4	of	of	ADP
ispiv-120	119	5	unsupervised	unsupervised	ADJ
ispiv-120	119	6	learning	learning	NOUN
ispiv-120	119	7	,	,	PUNCT
ispiv-120	119	8	uraft	uraft	NOUN
ispiv-120	119	9	-	-	PUNCT
ispiv-120	119	10	piv	piv	NOUN
ispiv-120	119	11	can	can	AUX
ispiv-120	119	12	outperform	outperform	VERB
ispiv-120	119	13	its	its	PRON
ispiv-120	119	14	liteflownet	liteflownet	NOUN
ispiv-120	119	15	based	base	VERB
ispiv-120	119	16	competitor	competitor	NOUN
ispiv-120	119	17	in	in	ADP
ispiv-120	119	18	all	all	DET
ispiv-120	119	19	test	test	NOUN
ispiv-120	119	20	cases	case	NOUN
ispiv-120	119	21	and	and	CCONJ
ispiv-120	119	22	achieves	achieve	VERB
ispiv-120	119	23	a	a	DET
ispiv-120	119	24	slightly	slightly	ADV
ispiv-120	119	25	higher	high	ADJ
ispiv-120	119	26	error	error	NOUN
ispiv-120	119	27	compared	compare	VERB
ispiv-120	119	28	to	to	ADP
ispiv-120	119	29	the	the	DET
ispiv-120	119	30	supervised	supervised	ADJ
ispiv-120	119	31	piv	piv	NOUN
ispiv-120	119	32	-	-	PUNCT
ispiv-120	119	33	liteflownet	liteflownet	NOUN
ispiv-120	119	34	-	-	PUNCT
ispiv-120	119	35	en	en	NOUN
ispiv-120	119	36	proving	prove	VERB
ispiv-120	119	37	the	the	DET
ispiv-120	119	38	effectiveness	effectiveness	NOUN
ispiv-120	119	39	of	of	ADP
ispiv-120	119	40	this	this	DET
ispiv-120	119	41	learning	learning	NOUN
ispiv-120	119	42	paradigma	paradigma	NOUN
ispiv-120	119	43	.	.	PUNCT
ispiv-120	120	1	however	however	ADV
ispiv-120	120	2	,	,	PUNCT
ispiv-120	120	3	it	it	PRON
ispiv-120	120	4	can	can	AUX
ispiv-120	120	5	not	not	PART
ispiv-120	120	6	match	match	VERB
ispiv-120	120	7	the	the	DET
ispiv-120	120	8	performance	performance	NOUN
ispiv-120	120	9	of	of	ADP
ispiv-120	120	10	its	its	PRON
ispiv-120	120	11	supervised	supervised	ADJ
ispiv-120	120	12	counterpart	counterpart	NOUN
ispiv-120	120	13	raft32	raft32	NOUN
ispiv-120	120	14	-	-	PUNCT
ispiv-120	120	15	piv	piv	NOUN
ispiv-120	120	16	,	,	PUNCT
ispiv-120	120	17	most	most	ADV
ispiv-120	120	18	likely	likely	ADJ
ispiv-120	120	19	due	due	ADJ
ispiv-120	120	20	the	the	DET
ispiv-120	120	21	simple	simple	ADJ
ispiv-120	120	22	but	but	CCONJ
ispiv-120	120	23	yet	yet	ADV
ispiv-120	120	24	effective	effective	ADJ
ispiv-120	120	25	supervised	supervised	ADJ
ispiv-120	120	26	loss	loss	NOUN
ispiv-120	120	27	objective	objective	NOUN
ispiv-120	120	28	which	which	PRON
ispiv-120	120	29	is	be	AUX
ispiv-120	120	30	based	base	VERB
ispiv-120	120	31	on	on	ADP
ispiv-120	120	32	the	the	DET
ispiv-120	120	33	l1	l1	NOUN
ispiv-120	120	34	-	-	PUNCT
ispiv-120	120	35	norm	norm	NOUN
ispiv-120	120	36	between	between	ADP
ispiv-120	120	37	ground	ground	NOUN
ispiv-120	120	38	truth	truth	NOUN
ispiv-120	120	39	and	and	CCONJ
ispiv-120	120	40	optical	optical	ADJ
ispiv-120	120	41	flow	flow	NOUN
ispiv-120	120	42	estimation	estimation	NOUN
ispiv-120	120	43	.	.	PUNCT
ispiv-120	121	1	in	in	ADP
ispiv-120	121	2	contrast	contrast	NOUN
ispiv-120	121	3	,	,	PUNCT
ispiv-120	121	4	the	the	DET
ispiv-120	121	5	unsupervised	unsupervised	ADJ
ispiv-120	121	6	loss	loss	NOUN
ispiv-120	121	7	of	of	ADP
ispiv-120	121	8	uraft	uraft	NOUN
ispiv-120	121	9	-	-	PUNCT
ispiv-120	121	10	piv	piv	NOUN
ispiv-120	121	11	is	be	AUX
ispiv-120	121	12	entirely	entirely	ADV
ispiv-120	121	13	based	base	VERB
ispiv-120	121	14	on	on	ADP
ispiv-120	121	15	geometric	geometric	ADJ
ispiv-120	121	16	penalty	penalty	NOUN
ispiv-120	121	17	terms	term	NOUN
ispiv-120	121	18	including	include	VERB
ispiv-120	121	19	a	a	DET
ispiv-120	121	20	photometric	photometric	NOUN
ispiv-120	121	21	,	,	PUNCT
ispiv-120	121	22	forward	forward	ADJ
ispiv-120	121	23	/	/	SYM
ispiv-120	121	24	backward	backward	ADJ
ispiv-120	121	25	consistency	consistency	NOUN
ispiv-120	121	26	and	and	CCONJ
ispiv-120	121	27	smoothness	smoothness	ADJ
ispiv-120	121	28	oriented	orient	VERB
ispiv-120	121	29	loss	loss	NOUN
ispiv-120	121	30	.	.	PUNCT
ispiv-120	122	1	we	we	PRON
ispiv-120	122	2	note	note	VERB
ispiv-120	122	3	that	that	SCONJ
ispiv-120	122	4	networks	network	NOUN
ispiv-120	122	5	solely	solely	ADV
ispiv-120	122	6	trained	train	VERB
ispiv-120	122	7	on	on	ADP
ispiv-120	122	8	photometric	photometric	ADJ
ispiv-120	122	9	differences	difference	NOUN
ispiv-120	122	10	tend	tend	VERB
ispiv-120	122	11	to	to	PART
ispiv-120	122	12	predict	predict	VERB
ispiv-120	122	13	highly	highly	ADV
ispiv-120	122	14	inconsistent	inconsistent	ADJ
ispiv-120	122	15	displacement	displacement	ADJ
ispiv-120	122	16	fields	field	NOUN
ispiv-120	122	17	which	which	PRON
ispiv-120	122	18	are	be	AUX
ispiv-120	122	19	mainly	mainly	ADV
ispiv-120	122	20	characterized	characterize	VERB
ispiv-120	122	21	by	by	ADP
ispiv-120	122	22	local	local	ADJ
ispiv-120	122	23	extrema	extrema	NOUN
ispiv-120	122	24	in	in	ADP
ispiv-120	122	25	the	the	DET
ispiv-120	122	26	neighborhood	neighborhood	NOUN
ispiv-120	122	27	of	of	ADP
ispiv-120	122	28	image	image	NOUN
ispiv-120	122	29	patterns	pattern	NOUN
ispiv-120	122	30	while	while	SCONJ
ispiv-120	122	31	regions	region	NOUN
ispiv-120	122	32	of	of	ADP
ispiv-120	122	33	less	less	ADJ
ispiv-120	122	34	visual	visual	ADJ
ispiv-120	122	35	image	image	NOUN
ispiv-120	122	36	texture	texture	NOUN
ispiv-120	122	37	do	do	AUX
ispiv-120	122	38	not	not	PART
ispiv-120	122	39	contribute	contribute	VERB
ispiv-120	122	40	to	to	ADP
ispiv-120	122	41	the	the	DET
ispiv-120	122	42	optical	optical	ADJ
ispiv-120	122	43	flow	flow	NOUN
ispiv-120	122	44	estimation	estimation	NOUN
ispiv-120	122	45	.	.	PUNCT
ispiv-120	123	1	considering	consider	VERB
ispiv-120	123	2	the	the	DET
ispiv-120	123	3	fact	fact	NOUN
ispiv-120	123	4	that	that	SCONJ
ispiv-120	123	5	optical	optical	ADJ
ispiv-120	123	6	flow	flow	NOUN
ispiv-120	123	7	estimators	estimator	NOUN
ispiv-120	123	8	aim	aim	VERB
ispiv-120	123	9	at	at	ADP
ispiv-120	123	10	matching	match	VERB
ispiv-120	123	11	extracted	extract	VERB
ispiv-120	123	12	image	image	NOUN
ispiv-120	123	13	features	feature	NOUN
ispiv-120	123	14	between	between	ADP
ispiv-120	123	15	subsequent	subsequent	ADJ
ispiv-120	123	16	images	image	NOUN
ispiv-120	123	17	rather	rather	ADV
ispiv-120	123	18	than	than	ADP
ispiv-120	123	19	learning	learn	VERB
ispiv-120	123	20	the	the	DET
ispiv-120	123	21	most	most	ADV
ispiv-120	123	22	probable	probable	ADJ
ispiv-120	123	23	,	,	PUNCT
ispiv-120	123	24	physical	physical	ADJ
ispiv-120	123	25	displacement	displacement	NOUN
ispiv-120	123	26	which	which	PRON
ispiv-120	123	27	in	in	ADP
ispiv-120	123	28	fact	fact	NOUN
ispiv-120	123	29	is	be	AUX
ispiv-120	123	30	not	not	PART
ispiv-120	123	31	possible	possible	ADJ
ispiv-120	123	32	,	,	PUNCT
ispiv-120	123	33	a	a	DET
ispiv-120	123	34	single	single	ADJ
ispiv-120	123	35	photometric	photometric	NOUN
ispiv-120	123	36	loss	loss	NOUN
ispiv-120	123	37	will	will	AUX
ispiv-120	123	38	not	not	PART
ispiv-120	123	39	necessarily	necessarily	ADV
ispiv-120	123	40	converge	converge	VERB
ispiv-120	123	41	to	to	ADP
ispiv-120	123	42	the	the	DET
ispiv-120	123	43	physically	physically	ADV
ispiv-120	123	44	correct	correct	ADJ
ispiv-120	123	45	minimum	minimum	NOUN
ispiv-120	123	46	.	.	PUNCT
ispiv-120	124	1	in	in	ADP
ispiv-120	124	2	this	this	DET
ispiv-120	124	3	light	light	NOUN
ispiv-120	124	4	,	,	PUNCT
ispiv-120	124	5	piv	piv	NOUN
ispiv-120	124	6	images	image	NOUN
ispiv-120	124	7	pose	pose	VERB
ispiv-120	124	8	an	an	DET
ispiv-120	124	9	even	even	ADV
ispiv-120	124	10	greater	great	ADJ
ispiv-120	124	11	challenge	challenge	NOUN
ispiv-120	124	12	on	on	ADP
ispiv-120	124	13	unsuspervised	unsuspervised	ADJ
ispiv-120	124	14	optical	optical	ADJ
ispiv-120	124	15	flow	flow	NOUN
ispiv-120	124	16	networks	network	NOUN
ispiv-120	124	17	since	since	SCONJ
ispiv-120	124	18	they	they	PRON
ispiv-120	124	19	contain	contain	VERB
ispiv-120	124	20	many	many	ADJ
ispiv-120	124	21	,	,	PUNCT
ispiv-120	124	22	but	but	CCONJ
ispiv-120	124	23	tiny	tiny	ADJ
ispiv-120	124	24	and	and	CCONJ
ispiv-120	124	25	almost	almost	ADV
ispiv-120	124	26	identical	identical	ADJ
ispiv-120	124	27	image	image	NOUN
ispiv-120	124	28	features	feature	VERB
ispiv-120	124	29	the	the	DET
ispiv-120	124	30	particles	particle	NOUN
ispiv-120	124	31	and	and	CCONJ
ispiv-120	124	32	hence	hence	ADV
ispiv-120	124	33	,	,	PUNCT
ispiv-120	124	34	provide	provide	VERB
ispiv-120	124	35	similar	similar	ADJ
ispiv-120	124	36	image	image	NOUN
ispiv-120	124	37	patterns	pattern	NOUN
ispiv-120	124	38	within	within	ADP
ispiv-120	124	39	the	the	DET
ispiv-120	124	40	local	local	ADJ
ispiv-120	124	41	neighborhood	neighborhood	NOUN
ispiv-120	124	42	impeding	impede	VERB
ispiv-120	124	43	the	the	DET
ispiv-120	124	44	prediction	prediction	NOUN
ispiv-120	124	45	of	of	ADP
ispiv-120	124	46	the	the	DET
ispiv-120	124	47	physical	physical	ADJ
ispiv-120	124	48	correct	correct	ADJ
ispiv-120	124	49	displacement	displacement	NOUN
ispiv-120	124	50	.	.	PUNCT
ispiv-120	125	1	from	from	ADP
ispiv-120	125	2	a	a	DET
ispiv-120	125	3	high	high	ADJ
ispiv-120	125	4	-	-	PUNCT
ispiv-120	125	5	level	level	NOUN
ispiv-120	125	6	perspective	perspective	NOUN
ispiv-120	125	7	,	,	PUNCT
ispiv-120	125	8	smoothness	smoothness	ADJ
ispiv-120	125	9	oriented	orient	VERB
ispiv-120	125	10	losses	loss	NOUN
ispiv-120	125	11	target	target	VERB
ispiv-120	125	12	this	this	DET
ispiv-120	125	13	ambiguity	ambiguity	NOUN
ispiv-120	125	14	since	since	SCONJ
ispiv-120	125	15	they	they	PRON
ispiv-120	125	16	penalize	penalize	VERB
ispiv-120	125	17	the	the	DET
ispiv-120	125	18	prediction	prediction	NOUN
ispiv-120	125	19	of	of	ADP
ispiv-120	125	20	strong	strong	ADJ
ispiv-120	125	21	gradients	gradient	NOUN
ispiv-120	125	22	and	and	CCONJ
ispiv-120	125	23	encourage	encourage	VERB
ispiv-120	125	24	colinearity	colinearity	NOUN
ispiv-120	125	25	of	of	ADP
ispiv-120	125	26	neighboring	neighboring	NOUN
ispiv-120	125	27	flows	flow	NOUN
ispiv-120	125	28	to	to	PART
ispiv-120	125	29	achieve	achieve	VERB
ispiv-120	125	30	a	a	DET
ispiv-120	125	31	more	more	ADV
ispiv-120	125	32	effective	effective	ADJ
ispiv-120	125	33	regularization	regularization	NOUN
ispiv-120	125	34	.	.	PUNCT
ispiv-120	126	1	however	however	ADV
ispiv-120	126	2	,	,	PUNCT
ispiv-120	126	3	this	this	PRON
ispiv-120	126	4	also	also	ADV
ispiv-120	126	5	means	mean	VERB
ispiv-120	126	6	that	that	SCONJ
ispiv-120	126	7	displacement	displacement	ADJ
ispiv-120	126	8	fields	field	NOUN
ispiv-120	126	9	characterized	characterize	VERB
ispiv-120	126	10	by	by	ADP
ispiv-120	126	11	physically	physically	ADV
ispiv-120	126	12	correct	correct	ADJ
ispiv-120	126	13	,	,	PUNCT
ispiv-120	126	14	strong	strong	ADJ
ispiv-120	126	15	gradients	gradient	NOUN
ispiv-120	126	16	are	be	AUX
ispiv-120	126	17	usually	usually	ADV
ispiv-120	126	18	underestimated	underestimate	VERB
ispiv-120	126	19	resulting	result	VERB
ispiv-120	126	20	in	in	ADP
ispiv-120	126	21	higher	high	ADJ
ispiv-120	126	22	error	error	NOUN
ispiv-120	126	23	values	value	NOUN
ispiv-120	126	24	.	.	PUNCT
ispiv-120	127	1	to	to	PART
ispiv-120	127	2	illustrate	illustrate	VERB
ispiv-120	127	3	this	this	DET
ispiv-120	127	4	drawback	drawback	NOUN
ispiv-120	127	5	,	,	PUNCT
ispiv-120	127	6	fig	fig	NOUN
ispiv-120	127	7	.	.	PUNCT
ispiv-120	127	8	2	2	NUM
ispiv-120	127	9	compares	compare	VERB
ispiv-120	127	10	the	the	DET
ispiv-120	127	11	ground	ground	NOUN
ispiv-120	127	12	-	-	PUNCT
ispiv-120	127	13	truth	truth	NOUN
ispiv-120	127	14	and	and	CCONJ
ispiv-120	127	15	predictions	prediction	NOUN
ispiv-120	127	16	of	of	ADP
ispiv-120	127	17	supervised	supervised	ADJ
ispiv-120	127	18	and	and	CCONJ
ispiv-120	127	19	unsupervised	unsupervised	ADJ
ispiv-120	127	20	networks	network	NOUN
ispiv-120	127	21	for	for	ADP
ispiv-120	127	22	two	two	NUM
ispiv-120	127	23	flow	flow	NOUN
ispiv-120	127	24	fields	field	NOUN
ispiv-120	127	25	sideby	sideby	NOUN
ispiv-120	127	26	-	-	PUNCT
ispiv-120	127	27	side	side	NOUN
ispiv-120	127	28	.	.	PUNCT
ispiv-120	128	1	especially	especially	ADV
ispiv-120	128	2	in	in	ADP
ispiv-120	128	3	gradient	gradient	NOUN
ispiv-120	128	4	dominated	dominate	VERB
ispiv-120	128	5	flows	flow	NOUN
ispiv-120	128	6	,	,	PUNCT
ispiv-120	128	7	uraft	uraft	NOUN
ispiv-120	128	8	-	-	PUNCT
ispiv-120	128	9	piv	piv	NOUN
ispiv-120	128	10	under-/overestimates	under-/overestimate	VERB
ispiv-120	129	1	the	the	DET
ispiv-120	129	2	local	local	ADJ
ispiv-120	129	3	displacement	displacement	NOUN
ispiv-120	129	4	compared	compare	VERB
ispiv-120	129	5	to	to	ADP
ispiv-120	129	6	its	its	PRON
ispiv-120	129	7	supervised	supervised	ADJ
ispiv-120	129	8	counterpart	counterpart	NOUN
ispiv-120	129	9	since	since	SCONJ
ispiv-120	129	10	the	the	DET
ispiv-120	129	11	unsupervised	unsupervised	ADJ
ispiv-120	129	12	loss	loss	NOUN
ispiv-120	129	13	objective	objective	NOUN
ispiv-120	129	14	encourages	encourage	VERB
ispiv-120	129	15	the	the	DET
ispiv-120	129	16	network	network	NOUN
ispiv-120	129	17	to	to	PART
ispiv-120	129	18	regularize	regularize	VERB
ispiv-120	129	19	the	the	DET
ispiv-120	129	20	optical	optical	ADJ
ispiv-120	129	21	flow	flow	NOUN
ispiv-120	129	22	.	.	PUNCT
ispiv-120	130	1	as	as	ADP
ispiv-120	130	2	a	a	DET
ispiv-120	130	3	result	result	NOUN
ispiv-120	130	4	,	,	PUNCT
ispiv-120	130	5	the	the	DET
ispiv-120	130	6	endpoint	endpoint	NOUN
ispiv-120	130	7	error	error	NOUN
ispiv-120	130	8	of	of	ADP
ispiv-120	130	9	uraft	uraft	NOUN
ispiv-120	130	10	-	-	PUNCT
ispiv-120	130	11	piv	piv	NOUN
ispiv-120	130	12	is	be	AUX
ispiv-120	130	13	one	one	NUM
ispiv-120	130	14	order	order	NOUN
ispiv-120	130	15	of	of	ADP
ispiv-120	130	16	magnitude	magnitude	NOUN
ispiv-120	130	17	higher	high	ADJ
ispiv-120	130	18	methods	method	NOUN
ispiv-120	130	19	back	back	ADJ
ispiv-120	130	20	-	-	PUNCT
ispiv-120	130	21	step	step	NOUN
ispiv-120	130	22	cylinder	cylinder	NOUN
ispiv-120	130	23	jhtdb	jhtdb	PROPN
ispiv-120	130	24	channel	channel	PROPN
ispiv-120	130	25	dns	dns	NOUN
ispiv-120	130	26	turbulence	turbulence	NOUN
ispiv-120	130	27	sqg	sqg	VERB
ispiv-120	130	28	widim	widim	NOUN
ispiv-120	131	1	[	[	X
ispiv-120	131	2	1	1	X
ispiv-120	131	3	]	]	PUNCT
ispiv-120	131	4	3.4	3.4	NUM
ispiv-120	131	5	8.3	8.3	NUM
ispiv-120	131	6	8.4	8.4	NUM
ispiv-120	131	7	30.4	30.4	NUM
ispiv-120	131	8	45.7	45.7	NUM
ispiv-120	131	9	hs	hs	PROPN
ispiv-120	131	10	optical	optical	ADJ
ispiv-120	131	11	flow	flow	NOUN
ispiv-120	131	12	[	[	X
ispiv-120	131	13	1	1	X
ispiv-120	131	14	]	]	SYM
ispiv-120	131	15	4.5	4.5	NUM
ispiv-120	131	16	7.0	7.0	NUM
ispiv-120	131	17	6.9	6.9	NUM
ispiv-120	131	18	52.5	52.5	NUM
ispiv-120	131	19	15.6	15.6	NUM
ispiv-120	131	20	pivnets	pivnet	NOUN
ispiv-120	131	21	-	-	PUNCT
ispiv-120	131	22	noref	noref	NOUN
ispiv-120	131	23	[	[	X
ispiv-120	131	24	2	2	NUM
ispiv-120	131	25	]	]	PUNCT
ispiv-120	131	26	{	{	PUNCT
ispiv-120	131	27	13.9	13.9	NUM
ispiv-120	131	28	}	}	PUNCT
ispiv-120	131	29	{	{	PUNCT
ispiv-120	131	30	19.4	19.4	NUM
ispiv-120	131	31	}	}	PUNCT
ispiv-120	131	32	{	{	PUNCT
ispiv-120	131	33	24.7	24.7	NUM
ispiv-120	131	34	}	}	PUNCT
ispiv-120	131	35	{	{	PUNCT
ispiv-120	131	36	52.5	52.5	NUM
ispiv-120	131	37	}	}	PUNCT
ispiv-120	131	38	{	{	PUNCT
ispiv-120	131	39	52.5	52.5	NUM
ispiv-120	131	40	}	}	PUNCT
ispiv-120	131	41	piv	piv	NOUN
ispiv-120	131	42	-	-	PUNCT
ispiv-120	131	43	nets	net	NOUN
ispiv-120	131	44	[	[	X
ispiv-120	131	45	2	2	NUM
ispiv-120	131	46	]	]	PUNCT
ispiv-120	131	47	{	{	PUNCT
ispiv-120	131	48	5.9	5.9	NUM
ispiv-120	131	49	}	}	PUNCT
ispiv-120	131	50	{	{	PUNCT
ispiv-120	131	51	7.2	7.2	NUM
ispiv-120	131	52	}	}	PUNCT
ispiv-120	131	53	{	{	PUNCT
ispiv-120	131	54	15.5	15.5	NUM
ispiv-120	131	55	}	}	PUNCT
ispiv-120	131	56	{	{	PUNCT
ispiv-120	131	57	28.2	28.2	NUM
ispiv-120	131	58	}	}	PUNCT
ispiv-120	131	59	{	{	PUNCT
ispiv-120	131	60	29.4	29.4	NUM
ispiv-120	131	61	}	}	PUNCT
ispiv-120	131	62	piv	piv	NOUN
ispiv-120	131	63	-	-	PUNCT
ispiv-120	131	64	liteflownet	liteflownet	NOUN
ispiv-120	132	1	[	[	X
ispiv-120	132	2	1	1	X
ispiv-120	132	3	]	]	PUNCT
ispiv-120	132	4	{	{	PUNCT
ispiv-120	132	5	5.6	5.6	NUM
ispiv-120	132	6	}	}	PUNCT
ispiv-120	132	7	{	{	PUNCT
ispiv-120	132	8	8.3	8.3	NUM
ispiv-120	132	9	}	}	PUNCT
ispiv-120	132	10	{	{	PUNCT
ispiv-120	132	11	10.4	10.4	NUM
ispiv-120	132	12	}	}	PUNCT
ispiv-120	132	13	{	{	PUNCT
ispiv-120	132	14	19.6	19.6	NUM
ispiv-120	132	15	}	}	PUNCT
ispiv-120	132	16	{	{	PUNCT
ispiv-120	132	17	20.0	20.0	NUM
ispiv-120	132	18	}	}	PUNCT
ispiv-120	132	19	piv	piv	NOUN
ispiv-120	132	20	-	-	PUNCT
ispiv-120	132	21	liteflownet	liteflownet	NOUN
ispiv-120	132	22	-	-	PUNCT
ispiv-120	132	23	en	en	NOUN
ispiv-120	132	24	[	[	X
ispiv-120	132	25	1	1	NUM
ispiv-120	132	26	]	]	PUNCT
ispiv-120	132	27	{	{	PUNCT
ispiv-120	132	28	3.3	3.3	NUM
ispiv-120	132	29	}	}	PUNCT
ispiv-120	132	30	{	{	PUNCT
ispiv-120	132	31	4.9	4.9	NUM
ispiv-120	132	32	}	}	PUNCT
ispiv-120	132	33	{	{	PUNCT
ispiv-120	132	34	7.5	7.5	NUM
ispiv-120	132	35	}	}	PUNCT
ispiv-120	132	36	{	{	PUNCT
ispiv-120	132	37	12.2	12.2	NUM
ispiv-120	132	38	}	}	PUNCT
ispiv-120	132	39	{	{	PUNCT
ispiv-120	132	40	12.6	12.6	NUM
ispiv-120	132	41	}	}	PUNCT
ispiv-120	132	42	raft32	raft32	NOUN
ispiv-120	132	43	-	-	PUNCT
ispiv-120	132	44	piv	piv	NOUN
ispiv-120	133	1	[	[	X
ispiv-120	133	2	4	4	X
ispiv-120	133	3	]	]	PUNCT
ispiv-120	133	4	{	{	PUNCT
ispiv-120	133	5	0.4	0.4	NUM
ispiv-120	133	6	}	}	PUNCT
ispiv-120	133	7	{	{	PUNCT
ispiv-120	133	8	1.8	1.8	NUM
ispiv-120	133	9	}	}	PUNCT
ispiv-120	133	10	{	{	PUNCT
ispiv-120	133	11	1.1	1.1	NUM
ispiv-120	133	12	}	}	PUNCT
ispiv-120	133	13	{	{	PUNCT
ispiv-120	133	14	2.8	2.8	NUM
ispiv-120	133	15	}	}	PUNCT
ispiv-120	133	16	{	{	PUNCT
ispiv-120	133	17	2.1	2.1	NUM
ispiv-120	133	18	}	}	PUNCT
ispiv-120	133	19	unliteflownet	unliteflownet	NOUN
ispiv-120	133	20	-	-	PUNCT
ispiv-120	133	21	piv	piv	NOUN
ispiv-120	134	1	[	[	X
ispiv-120	134	2	3	3	X
ispiv-120	134	3	]	]	SYM
ispiv-120	134	4	10.1	10.1	NUM
ispiv-120	134	5	7.8	7.8	NUM
ispiv-120	134	6	9.6	9.6	NUM
ispiv-120	134	7	13.5	13.5	NUM
ispiv-120	134	8	19.7	19.7	NUM
ispiv-120	134	9	uraft	uraft	NOUN
ispiv-120	134	10	-	-	PUNCT
ispiv-120	134	11	piv	piv	NOUN
ispiv-120	134	12	(	(	PUNCT
ispiv-120	134	13	present	present	ADJ
ispiv-120	134	14	)	)	PUNCT
ispiv-120	134	15	6.5	6.5	NUM
ispiv-120	134	16	6.6	6.6	NUM
ispiv-120	134	17	8.1	8.1	NUM
ispiv-120	134	18	12.5	12.5	NUM
ispiv-120	134	19	13.2	13.2	NUM
ispiv-120	134	20	table	table	NOUN
ispiv-120	134	21	1	1	NUM
ispiv-120	134	22	:	:	PUNCT
ispiv-120	134	23	averaged	average	VERB
ispiv-120	134	24	endpoint	endpoint	NOUN
ispiv-120	134	25	error	error	NOUN
ispiv-120	134	26	(	(	PUNCT
ispiv-120	134	27	aee	aee	PROPN
ispiv-120	134	28	)	)	PUNCT
ispiv-120	134	29	for	for	ADP
ispiv-120	134	30	all	all	DET
ispiv-120	134	31	test	test	NOUN
ispiv-120	134	32	cases	case	NOUN
ispiv-120	134	33	of	of	ADP
ispiv-120	134	34	the	the	DET
ispiv-120	134	35	synthetic	synthetic	ADJ
ispiv-120	134	36	piv	piv	NOUN
ispiv-120	134	37	database	database	NOUN
ispiv-120	134	38	introduced	introduce	VERB
ispiv-120	134	39	in	in	ADP
ispiv-120	134	40	cai	cai	PROPN
ispiv-120	134	41	et	et	PROPN
ispiv-120	134	42	al	al	PROPN
ispiv-120	134	43	.	.	PROPN
ispiv-120	135	1	(	(	PUNCT
ispiv-120	135	2	2019b	2019b	NUM
ispiv-120	135	3	)	)	PUNCT
ispiv-120	135	4	of	of	ADP
ispiv-120	135	5	learning	learn	VERB
ispiv-120	135	6	task	task	PROPN
ispiv-120	135	7	i.	i.	PROPN
ispiv-120	135	8	uraft	uraft	PROPN
ispiv-120	135	9	-	-	PUNCT
ispiv-120	135	10	piv	piv	NOUN
ispiv-120	135	11	outperforms	outperform	VERB
ispiv-120	135	12	its	its	PRON
ispiv-120	135	13	unsupervised	unsupervised	ADJ
ispiv-120	135	14	competitor	competitor	NOUN
ispiv-120	135	15	in	in	ADP
ispiv-120	135	16	all	all	DET
ispiv-120	135	17	test	test	NOUN
ispiv-120	135	18	cases	case	NOUN
ispiv-120	135	19	and	and	CCONJ
ispiv-120	135	20	achieves	achieve	VERB
ispiv-120	135	21	a	a	DET
ispiv-120	135	22	similar	similar	ADJ
ispiv-120	135	23	performance	performance	NOUN
ispiv-120	135	24	compared	compare	VERB
ispiv-120	135	25	to	to	ADP
ispiv-120	135	26	a	a	DET
ispiv-120	135	27	supervised	supervise	VERB
ispiv-120	135	28	liteflownet	liteflownet	NOUN
ispiv-120	135	29	based	base	VERB
ispiv-120	135	30	network	network	NOUN
ispiv-120	135	31	(	(	PUNCT
ispiv-120	135	32	piv	piv	NOUN
ispiv-120	135	33	-	-	PUNCT
ispiv-120	135	34	liteflowneten	liteflowneten	NOUN
ispiv-120	135	35	)	)	PUNCT
ispiv-120	135	36	.	.	PUNCT
ispiv-120	136	1	its	its	PRON
ispiv-120	136	2	supervised	supervised	ADJ
ispiv-120	136	3	counterpart	counterpart	NOUN
ispiv-120	136	4	raft32	raft32	NOUN
ispiv-120	136	5	-	-	PUNCT
ispiv-120	136	6	piv	piv	NOUN
ispiv-120	136	7	still	still	ADV
ispiv-120	136	8	achieves	achieve	VERB
ispiv-120	136	9	the	the	DET
ispiv-120	136	10	lowest	low	ADJ
ispiv-120	136	11	endpoint	endpoint	NOUN
ispiv-120	136	12	error	error	NOUN
ispiv-120	136	13	by	by	ADP
ispiv-120	136	14	quite	quite	DET
ispiv-120	136	15	a	a	DET
ispiv-120	136	16	margin	margin	NOUN
ispiv-120	136	17	.	.	PUNCT
ispiv-120	137	1	the	the	DET
ispiv-120	137	2	error	error	NOUN
ispiv-120	137	3	unit	unit	NOUN
ispiv-120	137	4	is	be	AUX
ispiv-120	137	5	set	set	VERB
ispiv-120	137	6	to	to	PART
ispiv-120	137	7	pixel	pixel	VERB
ispiv-120	137	8	per	per	ADP
ispiv-120	137	9	100	100	NUM
ispiv-120	137	10	pixels	pixel	NOUN
ispiv-120	137	11	for	for	ADP
ispiv-120	137	12	easier	easy	ADJ
ispiv-120	137	13	comparison	comparison	NOUN
ispiv-120	137	14	.	.	PUNCT
ispiv-120	138	1	values	value	NOUN
ispiv-120	138	2	in	in	ADP
ispiv-120	138	3	brackets	bracket	NOUN
ispiv-120	138	4	correspond	correspond	VERB
ispiv-120	138	5	to	to	ADP
ispiv-120	138	6	supervised	supervised	ADJ
ispiv-120	138	7	networks	network	NOUN
ispiv-120	138	8	.	.	PUNCT
ispiv-120	139	1	references	reference	NOUN
ispiv-120	139	2	:	:	PUNCT
ispiv-120	140	1	[	[	X
ispiv-120	140	2	1	1	X
ispiv-120	140	3	]	]	X
ispiv-120	140	4	cai	cai	X
ispiv-120	140	5	et	et	PROPN
ispiv-120	140	6	al	al	PROPN
ispiv-120	140	7	.	.	PROPN
ispiv-120	140	8	(	(	PUNCT
ispiv-120	140	9	2019a	2019a	NUM
ispiv-120	140	10	)	)	PUNCT
ispiv-120	140	11	,	,	PUNCT
ispiv-120	141	1	[	[	X
ispiv-120	141	2	2	2	X
ispiv-120	141	3	]	]	X
ispiv-120	141	4	cai	cai	X
ispiv-120	141	5	et	et	PROPN
ispiv-120	141	6	al	al	PROPN
ispiv-120	141	7	.	.	PROPN
ispiv-120	141	8	(	(	PUNCT
ispiv-120	141	9	2019b	2019b	NUM
ispiv-120	141	10	)	)	PUNCT
ispiv-120	141	11	;	;	PUNCT
ispiv-120	141	12	[	[	X
ispiv-120	141	13	3	3	X
ispiv-120	141	14	]	]	X
ispiv-120	141	15	zhang	zhang	PROPN
ispiv-120	141	16	and	and	CCONJ
ispiv-120	141	17	piggott	piggott	PROPN
ispiv-120	141	18	(	(	PUNCT
ispiv-120	141	19	2020	2020	NUM
ispiv-120	141	20	)	)	PUNCT
ispiv-120	141	21	;	;	PUNCT
ispiv-120	141	22	[	[	X
ispiv-120	141	23	4	4	X
ispiv-120	141	24	]	]	X
ispiv-120	141	25	lagemann	lagemann	PROPN
ispiv-120	141	26	et	et	PROPN
ispiv-120	141	27	al	al	PROPN
ispiv-120	141	28	.	.	PROPN
ispiv-120	142	1	(	(	PUNCT
ispiv-120	142	2	2021	2021	NUM
ispiv-120	142	3	)	)	PUNCT
ispiv-120	142	4	compared	compare	VERB
ispiv-120	142	5	to	to	ADP
ispiv-120	142	6	raft32	raft32	NOUN
ispiv-120	142	7	-	-	PUNCT
ispiv-120	142	8	piv	piv	NOUN
ispiv-120	142	9	,	,	PUNCT
ispiv-120	142	10	but	but	CCONJ
ispiv-120	142	11	still	still	ADV
ispiv-120	142	12	achieves	achieve	VERB
ispiv-120	142	13	a	a	DET
ispiv-120	142	14	higher	high	ADJ
ispiv-120	142	15	accuracy	accuracy	NOUN
ispiv-120	142	16	than	than	ADP
ispiv-120	142	17	unliteflow	unliteflow	NOUN
ispiv-120	142	18	-	-	PUNCT
ispiv-120	142	19	piv	piv	NOUN
ispiv-120	142	20	which	which	PRON
ispiv-120	142	21	additionally	additionally	ADV
ispiv-120	142	22	shows	show	VERB
ispiv-120	142	23	strong	strong	ADJ
ispiv-120	142	24	prediction	prediction	NOUN
ispiv-120	142	25	noise	noise	NOUN
ispiv-120	142	26	.	.	PUNCT
ispiv-120	143	1	in	in	ADP
ispiv-120	143	2	contrast	contrast	NOUN
ispiv-120	143	3	,	,	PUNCT
ispiv-120	143	4	if	if	SCONJ
ispiv-120	143	5	the	the	DET
ispiv-120	143	6	underlying	underlying	ADJ
ispiv-120	143	7	displacement	displacement	ADJ
ispiv-120	143	8	field	field	NOUN
ispiv-120	143	9	is	be	AUX
ispiv-120	143	10	more	more	ADV
ispiv-120	143	11	smooth	smooth	ADJ
ispiv-120	143	12	,	,	PUNCT
ispiv-120	143	13	the	the	DET
ispiv-120	143	14	endpoint	endpoint	NOUN
ispiv-120	143	15	error	error	NOUN
ispiv-120	143	16	decreases	decrease	VERB
ispiv-120	143	17	significantly	significantly	ADV
ispiv-120	143	18	.	.	PUNCT
ispiv-120	144	1	these	these	DET
ispiv-120	144	2	findings	finding	NOUN
ispiv-120	144	3	are	be	AUX
ispiv-120	144	4	in	in	ADP
ispiv-120	144	5	line	line	NOUN
ispiv-120	144	6	with	with	ADP
ispiv-120	144	7	literature	literature	NOUN
ispiv-120	144	8	(	(	PUNCT
ispiv-120	144	9	jonschkowski	jonschkowski	PROPN
ispiv-120	144	10	et	et	PROPN
ispiv-120	144	11	al	al	PROPN
ispiv-120	144	12	.	.	PROPN
ispiv-120	145	1	(	(	PUNCT
ispiv-120	145	2	2020	2020	NUM
ispiv-120	145	3	)	)	PUNCT
ispiv-120	145	4	)	)	PUNCT
ispiv-120	146	1	and	and	CCONJ
ispiv-120	146	2	suggest	suggest	VERB
ispiv-120	146	3	that	that	SCONJ
ispiv-120	146	4	the	the	DET
ispiv-120	146	5	loss	loss	NOUN
ispiv-120	146	6	functions	function	NOUN
ispiv-120	146	7	currently	currently	ADV
ispiv-120	146	8	used	use	VERB
ispiv-120	146	9	might	might	AUX
ispiv-120	146	10	be	be	AUX
ispiv-120	146	11	a	a	DET
ispiv-120	146	12	limiting	limit	VERB
ispiv-120	146	13	factor	factor	NOUN
ispiv-120	146	14	for	for	ADP
ispiv-120	146	15	the	the	DET
ispiv-120	146	16	performance	performance	NOUN
ispiv-120	146	17	of	of	ADP
ispiv-120	146	18	unsupervised	unsupervised	ADJ
ispiv-120	146	19	optical	optical	ADJ
ispiv-120	146	20	flow	flow	NOUN
ispiv-120	146	21	estimation	estimation	NOUN
ispiv-120	146	22	.	.	PUNCT
ispiv-120	147	1	current	current	ADJ
ispiv-120	147	2	state	state	NOUN
ispiv-120	147	3	-	-	PUNCT
ispiv-120	147	4	of	of	ADP
ispiv-120	147	5	-	-	PUNCT
ispiv-120	147	6	the	the	DET
ispiv-120	147	7	-	-	PUNCT
ispiv-120	147	8	art	art	NOUN
ispiv-120	147	9	unsupervised	unsupervised	ADJ
ispiv-120	147	10	loss	loss	NOUN
ispiv-120	147	11	objectives	objective	NOUN
ispiv-120	147	12	are	be	AUX
ispiv-120	147	13	useful	useful	ADJ
ispiv-120	147	14	,	,	PUNCT
ispiv-120	147	15	but	but	CCONJ
ispiv-120	147	16	by	by	ADP
ispiv-120	147	17	far	far	ADV
ispiv-120	147	18	not	not	PART
ispiv-120	147	19	as	as	ADV
ispiv-120	147	20	effective	effective	ADJ
ispiv-120	147	21	as	as	ADP
ispiv-120	147	22	supervising	supervise	VERB
ispiv-120	147	23	the	the	DET
ispiv-120	147	24	network	network	NOUN
ispiv-120	147	25	based	base	VERB
ispiv-120	147	26	on	on	ADP
ispiv-120	147	27	a	a	DET
ispiv-120	147	28	ground	ground	NOUN
ispiv-120	147	29	-	-	PUNCT
ispiv-120	147	30	truth	truth	NOUN
ispiv-120	147	31	,	,	PUNCT
ispiv-120	147	32	i.e.	i.e.	X
ispiv-120	147	33	,	,	PUNCT
ispiv-120	147	34	more	more	ADV
ispiv-120	147	35	sophisticated	sophisticated	ADJ
ispiv-120	147	36	loss	loss	NOUN
ispiv-120	147	37	objective	objective	NOUN
ispiv-120	147	38	can	can	AUX
ispiv-120	147	39	significantly	significantly	ADV
ispiv-120	147	40	boost	boost	VERB
ispiv-120	147	41	the	the	DET
ispiv-120	147	42	accuracy	accuracy	NOUN
ispiv-120	147	43	of	of	ADP
ispiv-120	147	44	unsupervised	unsupervised	ADJ
ispiv-120	147	45	optical	optical	ADJ
ispiv-120	147	46	flow	flow	NOUN
ispiv-120	147	47	estimation	estimation	NOUN
ispiv-120	147	48	.	.	PUNCT
ispiv-120	148	1	figure	figure	NOUN
ispiv-120	148	2	2	2	NUM
ispiv-120	148	3	:	:	PUNCT
ispiv-120	148	4	optical	optical	ADJ
ispiv-120	148	5	flow	flow	NOUN
ispiv-120	148	6	prediction	prediction	NOUN
ispiv-120	148	7	of	of	ADP
ispiv-120	148	8	different	different	ADJ
ispiv-120	148	9	network	network	NOUN
ispiv-120	148	10	architectures	architecture	NOUN
ispiv-120	148	11	and	and	CCONJ
ispiv-120	148	12	absolute	absolute	ADJ
ispiv-120	148	13	error	error	NOUN
ispiv-120	148	14	between	between	ADP
ispiv-120	148	15	ground	ground	NOUN
ispiv-120	148	16	truth	truth	NOUN
ispiv-120	148	17	flow	flow	NOUN
ispiv-120	148	18	and	and	CCONJ
ispiv-120	148	19	network	network	NOUN
ispiv-120	148	20	predictions	prediction	NOUN
ispiv-120	148	21	.	.	PUNCT
ispiv-120	149	1	each	each	DET
ispiv-120	149	2	image	image	NOUN
ispiv-120	149	3	depicts	depict	VERB
ispiv-120	149	4	two	two	NUM
ispiv-120	149	5	individual	individual	ADJ
ispiv-120	149	6	flow	flow	NOUN
ispiv-120	149	7	fields	field	NOUN
ispiv-120	149	8	characterized	characterize	VERB
ispiv-120	149	9	by	by	ADP
ispiv-120	149	10	medium	medium	ADJ
ispiv-120	149	11	and	and	CCONJ
ispiv-120	149	12	strong	strong	ADJ
ispiv-120	149	13	gradients	gradient	NOUN
ispiv-120	149	14	.	.	PUNCT
ispiv-120	150	1	the	the	DET
ispiv-120	150	2	first	first	ADJ
ispiv-120	150	3	two	two	NUM
ispiv-120	150	4	rows	row	NOUN
ispiv-120	150	5	illustrate	illustrate	VERB
ispiv-120	150	6	the	the	DET
ispiv-120	150	7	displacement	displacement	NOUN
ispiv-120	150	8	and	and	CCONJ
ispiv-120	150	9	error	error	NOUN
ispiv-120	150	10	distribution	distribution	NOUN
ispiv-120	150	11	of	of	ADP
ispiv-120	150	12	the	the	DET
ispiv-120	150	13	horizontal	horizontal	ADJ
ispiv-120	150	14	direction	direction	NOUN
ispiv-120	150	15	while	while	SCONJ
ispiv-120	150	16	the	the	DET
ispiv-120	150	17	last	last	ADJ
ispiv-120	150	18	two	two	NUM
ispiv-120	150	19	rows	row	NOUN
ispiv-120	150	20	show	show	NOUN
ispiv-120	150	21	estimates	estimate	NOUN
ispiv-120	150	22	for	for	ADP
ispiv-120	150	23	the	the	DET
ispiv-120	150	24	vertical	vertical	ADJ
ispiv-120	150	25	axis	axis	NOUN
ispiv-120	150	26	.	.	PUNCT
ispiv-120	151	1	especially	especially	ADV
ispiv-120	151	2	in	in	ADP
ispiv-120	151	3	flow	flow	NOUN
ispiv-120	151	4	fields	field	NOUN
ispiv-120	151	5	dominated	dominate	VERB
ispiv-120	151	6	by	by	ADP
ispiv-120	151	7	strong	strong	ADJ
ispiv-120	151	8	gradients	gradient	NOUN
ispiv-120	151	9	(	(	PUNCT
ispiv-120	151	10	right	right	ADJ
ispiv-120	151	11	half	half	NOUN
ispiv-120	151	12	)	)	PUNCT
ispiv-120	151	13	,	,	PUNCT
ispiv-120	151	14	uraft	uraft	NOUN
ispiv-120	151	15	-	-	PUNCT
ispiv-120	151	16	piv	piv	NOUN
ispiv-120	151	17	under-/overestimates	under-/overestimate	VERB
ispiv-120	151	18	the	the	DET
ispiv-120	151	19	local	local	ADJ
ispiv-120	151	20	displacement	displacement	NOUN
ispiv-120	151	21	compared	compare	VERB
ispiv-120	151	22	to	to	ADP
ispiv-120	151	23	its	its	PRON
ispiv-120	151	24	supervised	supervised	ADJ
ispiv-120	151	25	counterpart	counterpart	NOUN
ispiv-120	151	26	since	since	SCONJ
ispiv-120	151	27	the	the	DET
ispiv-120	151	28	unsupervised	unsupervised	ADJ
ispiv-120	151	29	loss	loss	NOUN
ispiv-120	151	30	objective	objective	NOUN
ispiv-120	151	31	encourages	encourage	VERB
ispiv-120	151	32	the	the	DET
ispiv-120	151	33	network	network	NOUN
ispiv-120	151	34	to	to	PART
ispiv-120	151	35	regularize	regularize	VERB
ispiv-120	151	36	the	the	DET
ispiv-120	151	37	optical	optical	ADJ
ispiv-120	151	38	flow	flow	NOUN
ispiv-120	151	39	.	.	PUNCT
ispiv-120	152	1	however	however	ADV
ispiv-120	152	2	,	,	PUNCT
ispiv-120	152	3	uraft	uraft	NOUN
ispiv-120	152	4	-	-	PUNCT
ispiv-120	152	5	piv	piv	NOUN
ispiv-120	152	6	still	still	ADV
ispiv-120	152	7	achieves	achieve	VERB
ispiv-120	152	8	a	a	DET
ispiv-120	152	9	higher	high	ADJ
ispiv-120	152	10	accuracies	accuracy	NOUN
ispiv-120	152	11	compared	compare	VERB
ispiv-120	152	12	to	to	ADP
ispiv-120	152	13	unliteflownet	unliteflownet	NOUN
ispiv-120	152	14	-	-	PUNCT
ispiv-120	152	15	piv	piv	NOUN
ispiv-120	152	16	and	and	CCONJ
ispiv-120	152	17	a	a	DET
ispiv-120	152	18	lower	low	ADJ
ispiv-120	152	19	prediction	prediction	NOUN
ispiv-120	152	20	noise	noise	NOUN
ispiv-120	152	21	.	.	PUNCT
ispiv-120	153	1	3.2	3.2	NUM
ispiv-120	153	2	learning	learn	VERB
ispiv-120	153	3	task	task	PROPN
ispiv-120	153	4	ii	ii	PROPN
ispiv-120	153	5	:	:	PUNCT
ispiv-120	153	6	realistic	realistic	ADJ
ispiv-120	153	7	synthetic	synthetic	ADJ
ispiv-120	153	8	and	and	CCONJ
ispiv-120	153	9	experimental	experimental	ADJ
ispiv-120	153	10	piv	piv	NOUN
ispiv-120	153	11	images	image	NOUN
ispiv-120	153	12	while	while	SCONJ
ispiv-120	153	13	the	the	DET
ispiv-120	153	14	data	datum	NOUN
ispiv-120	153	15	above	above	ADV
ispiv-120	153	16	are	be	AUX
ispiv-120	153	17	interesting	interesting	ADJ
ispiv-120	153	18	and	and	CCONJ
ispiv-120	153	19	useful	useful	ADJ
ispiv-120	153	20	,	,	PUNCT
ispiv-120	153	21	we	we	PRON
ispiv-120	153	22	note	note	VERB
ispiv-120	153	23	that	that	SCONJ
ispiv-120	153	24	it	it	PRON
ispiv-120	153	25	is	be	AUX
ispiv-120	153	26	almost	almost	ADV
ispiv-120	153	27	impossible	impossible	ADJ
ispiv-120	153	28	to	to	PART
ispiv-120	153	29	obtain	obtain	VERB
ispiv-120	153	30	images	image	NOUN
ispiv-120	153	31	of	of	ADP
ispiv-120	153	32	this	this	DET
ispiv-120	153	33	quality	quality	NOUN
ispiv-120	153	34	in	in	ADP
ispiv-120	153	35	practical	practical	ADJ
ispiv-120	153	36	applications	application	NOUN
ispiv-120	153	37	since	since	SCONJ
ispiv-120	153	38	piv	piv	NOUN
ispiv-120	153	39	setups	setup	NOUN
ispiv-120	153	40	are	be	AUX
ispiv-120	153	41	very	very	ADV
ispiv-120	153	42	sensitive	sensitive	ADJ
ispiv-120	153	43	to	to	ADP
ispiv-120	153	44	external	external	ADJ
ispiv-120	153	45	and	and	CCONJ
ispiv-120	153	46	internal	internal	ADJ
ispiv-120	153	47	sources	source	NOUN
ispiv-120	153	48	of	of	ADP
ispiv-120	153	49	noise	noise	NOUN
ispiv-120	153	50	,	,	PUNCT
ispiv-120	153	51	e.g.	e.g.	ADV
ispiv-120	153	52	,	,	PUNCT
ispiv-120	153	53	reflections	reflection	NOUN
ispiv-120	153	54	on	on	ADP
ispiv-120	153	55	side	side	ADJ
ispiv-120	153	56	walls	wall	NOUN
ispiv-120	153	57	or	or	CCONJ
ispiv-120	153	58	surfaces	surface	NOUN
ispiv-120	153	59	,	,	PUNCT
ispiv-120	153	60	light	light	ADJ
ispiv-120	153	61	refraction	refraction	NOUN
ispiv-120	153	62	at	at	ADP
ispiv-120	153	63	glass	glass	NOUN
ispiv-120	153	64	surfaces	surface	NOUN
ispiv-120	153	65	,	,	PUNCT
ispiv-120	153	66	slight	slight	ADJ
ispiv-120	153	67	misalignments	misalignment	NOUN
ispiv-120	153	68	in	in	ADP
ispiv-120	153	69	the	the	DET
ispiv-120	153	70	setup	setup	NOUN
ispiv-120	153	71	,	,	PUNCT
ispiv-120	153	72	or	or	CCONJ
ispiv-120	153	73	density	density	NOUN
ispiv-120	153	74	gradients	gradient	NOUN
ispiv-120	153	75	as	as	ADP
ispiv-120	153	76	present	present	ADJ
ispiv-120	153	77	in	in	ADP
ispiv-120	153	78	supersonic	supersonic	ADJ
ispiv-120	153	79	flows	flow	NOUN
ispiv-120	153	80	.	.	PUNCT
ispiv-120	154	1	to	to	PART
ispiv-120	154	2	study	study	VERB
ispiv-120	154	3	the	the	DET
ispiv-120	154	4	performance	performance	NOUN
ispiv-120	154	5	using	use	VERB
ispiv-120	154	6	images	image	NOUN
ispiv-120	154	7	like	like	ADP
ispiv-120	154	8	those	those	PRON
ispiv-120	154	9	obtained	obtain	VERB
ispiv-120	154	10	in	in	ADP
ispiv-120	154	11	many	many	ADJ
ispiv-120	154	12	real	real	ADJ
ispiv-120	154	13	-	-	PUNCT
ispiv-120	154	14	world	world	NOUN
ispiv-120	154	15	applications	application	NOUN
ispiv-120	154	16	,	,	PUNCT
ispiv-120	154	17	an	an	DET
ispiv-120	154	18	additional	additional	ADJ
ispiv-120	154	19	database	database	NOUN
ispiv-120	154	20	with	with	ADP
ispiv-120	154	21	an	an	DET
ispiv-120	154	22	increased	increase	VERB
ispiv-120	154	23	particle	particle	NOUN
ispiv-120	154	24	displacement	displacement	NOUN
ispiv-120	154	25	up	up	ADP
ispiv-120	154	26	to	to	ADP
ispiv-120	154	27	±24px	±24px	PROPN
ispiv-120	154	28	,	,	PUNCT
ispiv-120	154	29	a	a	DET
ispiv-120	154	30	reduced	reduce	VERB
ispiv-120	154	31	particle	particle	NOUN
ispiv-120	154	32	density	density	NOUN
ispiv-120	154	33	and	and	CCONJ
ispiv-120	154	34	signal	signal	NOUN
ispiv-120	154	35	-	-	PUNCT
ispiv-120	154	36	to	to	ADP
ispiv-120	154	37	-	-	PUNCT
ispiv-120	154	38	noise	noise	NOUN
ispiv-120	154	39	-	-	PUNCT
ispiv-120	154	40	ratio	ratio	NOUN
ispiv-120	154	41	(	(	PUNCT
ispiv-120	154	42	snr	snr	PROPN
ispiv-120	154	43	)	)	PUNCT
ispiv-120	154	44	,	,	PUNCT
ispiv-120	154	45	an	an	DET
ispiv-120	154	46	increased	increase	VERB
ispiv-120	154	47	variance	variance	NOUN
ispiv-120	154	48	of	of	ADP
ispiv-120	154	49	the	the	DET
ispiv-120	154	50	particle	particle	NOUN
ispiv-120	154	51	diameter	diameter	NOUN
ispiv-120	154	52	,	,	PUNCT
ispiv-120	154	53	and	and	CCONJ
ispiv-120	154	54	camera	camera	NOUN
ispiv-120	154	55	noise	noise	NOUN
ispiv-120	154	56	was	be	AUX
ispiv-120	154	57	used	use	VERB
ispiv-120	154	58	to	to	PART
ispiv-120	154	59	train	train	VERB
ispiv-120	154	60	the	the	DET
ispiv-120	154	61	networks	network	NOUN
ispiv-120	154	62	of	of	ADP
ispiv-120	154	63	learning	learn	VERB
ispiv-120	154	64	task	task	PROPN
ispiv-120	154	65	ii	ii	PROPN
ispiv-120	154	66	.	.	PUNCT
ispiv-120	155	1	details	detail	NOUN
ispiv-120	155	2	of	of	ADP
ispiv-120	155	3	this	this	DET
ispiv-120	155	4	dataset	dataset	NOUN
ispiv-120	155	5	can	can	AUX
ispiv-120	155	6	be	be	AUX
ispiv-120	155	7	found	find	VERB
ispiv-120	155	8	in	in	ADP
ispiv-120	155	9	lagemann	lagemann	PROPN
ispiv-120	155	10	et	et	PROPN
ispiv-120	155	11	al	al	PROPN
ispiv-120	155	12	.	.	PROPN
ispiv-120	156	1	(	(	PUNCT
ispiv-120	156	2	2021	2021	NUM
ispiv-120	156	3	)	)	PUNCT
ispiv-120	156	4	.	.	PUNCT
ispiv-120	157	1	first	first	ADV
ispiv-120	157	2	,	,	PUNCT
ispiv-120	157	3	we	we	PRON
ispiv-120	157	4	study	study	VERB
ispiv-120	157	5	the	the	DET
ispiv-120	157	6	performance	performance	NOUN
ispiv-120	157	7	of	of	ADP
ispiv-120	157	8	uraft	uraft	NOUN
ispiv-120	157	9	-	-	PUNCT
ispiv-120	157	10	piv	piv	NOUN
ispiv-120	157	11	in	in	ADP
ispiv-120	157	12	evaluating	evaluate	VERB
ispiv-120	157	13	synthetic	synthetic	ADJ
ispiv-120	157	14	images	image	NOUN
ispiv-120	157	15	based	base	VERB
ispiv-120	157	16	on	on	ADP
ispiv-120	157	17	a	a	DET
ispiv-120	157	18	dns	dns	NOUN
ispiv-120	157	19	of	of	ADP
ispiv-120	157	20	a	a	DET
ispiv-120	157	21	laminar	laminar	NOUN
ispiv-120	157	22	and	and	CCONJ
ispiv-120	157	23	a	a	DET
ispiv-120	157	24	fully	fully	ADV
ispiv-120	157	25	turbulent	turbulent	ADJ
ispiv-120	157	26	boundary	boundary	ADJ
ispiv-120	157	27	layer	layer	NOUN
ispiv-120	157	28	.	.	PUNCT
ispiv-120	158	1	results	result	NOUN
ispiv-120	158	2	are	be	AUX
ispiv-120	158	3	depicted	depict	VERB
ispiv-120	158	4	in	in	ADP
ispiv-120	158	5	fig	fig	NOUN
ispiv-120	158	6	.	.	PUNCT
ispiv-120	159	1	3	3	NUM
ispiv-120	159	2	illustrating	illustrate	VERB
ispiv-120	159	3	the	the	DET
ispiv-120	159	4	displacement	displacement	ADJ
ispiv-120	159	5	prediction	prediction	NOUN
ispiv-120	159	6	of	of	ADP
ispiv-120	159	7	uraft	uraft	NOUN
ispiv-120	159	8	-	-	PUNCT
ispiv-120	159	9	piv	piv	NOUN
ispiv-120	159	10	and	and	CCONJ
ispiv-120	159	11	its	its	PRON
ispiv-120	159	12	supervised	supervised	ADJ
ispiv-120	159	13	counterpart	counterpart	NOUN
ispiv-120	159	14	alongside	alongside	ADP
ispiv-120	159	15	comparisons	comparison	NOUN
ispiv-120	159	16	of	of	ADP
ispiv-120	159	17	displacement	displacement	ADJ
ispiv-120	159	18	profiles	profile	NOUN
ispiv-120	159	19	at	at	ADP
ispiv-120	159	20	different	different	ADJ
ispiv-120	159	21	positions	position	NOUN
ispiv-120	159	22	.	.	PUNCT
ispiv-120	160	1	in	in	ADP
ispiv-120	160	2	case	case	NOUN
ispiv-120	160	3	of	of	ADP
ispiv-120	160	4	a	a	DET
ispiv-120	160	5	laminar	laminar	ADJ
ispiv-120	160	6	boundary	boundary	ADJ
ispiv-120	160	7	layer	layer	NOUN
ispiv-120	160	8	,	,	PUNCT
ispiv-120	160	9	barely	barely	ADV
ispiv-120	160	10	any	any	DET
ispiv-120	160	11	differences	difference	NOUN
ispiv-120	160	12	become	become	VERB
ispiv-120	160	13	visible	visible	ADJ
ispiv-120	160	14	between	between	ADP
ispiv-120	160	15	raft32	raft32	NOUN
ispiv-120	160	16	-	-	PUNCT
ispiv-120	160	17	piv	piv	NOUN
ispiv-120	160	18	and	and	CCONJ
ispiv-120	160	19	uraft	uraft	NOUN
ispiv-120	160	20	-	-	PUNCT
ispiv-120	160	21	piv	piv	NOUN
ispiv-120	160	22	.	.	PUNCT
ispiv-120	161	1	compared	compare	VERB
ispiv-120	161	2	to	to	ADP
ispiv-120	161	3	the	the	DET
ispiv-120	161	4	ground	ground	NOUN
ispiv-120	161	5	-	-	PUNCT
ispiv-120	161	6	truth	truth	NOUN
ispiv-120	161	7	,	,	PUNCT
ispiv-120	161	8	however	however	ADV
ispiv-120	161	9	,	,	PUNCT
ispiv-120	161	10	local	local	ADJ
ispiv-120	161	11	flow	flow	NOUN
ispiv-120	161	12	feature	feature	NOUN
ispiv-120	161	13	appear	appear	VERB
ispiv-120	161	14	to	to	PART
ispiv-120	161	15	be	be	AUX
ispiv-120	161	16	smoothed	smooth	VERB
ispiv-120	161	17	and	and	CCONJ
ispiv-120	161	18	less	less	ADV
ispiv-120	161	19	sharp	sharp	ADJ
ispiv-120	161	20	.	.	PUNCT
ispiv-120	162	1	we	we	PRON
ispiv-120	162	2	assume	assume	VERB
ispiv-120	162	3	that	that	SCONJ
ispiv-120	162	4	this	this	PRON
ispiv-120	162	5	is	be	AUX
ispiv-120	162	6	directly	directly	ADV
ispiv-120	162	7	related	relate	VERB
ispiv-120	162	8	to	to	ADP
ispiv-120	162	9	the	the	DET
ispiv-120	162	10	fact	fact	NOUN
ispiv-120	162	11	that	that	SCONJ
ispiv-120	162	12	the	the	DET
ispiv-120	162	13	particle	particle	NOUN
ispiv-120	162	14	images	image	NOUN
ispiv-120	162	15	of	of	ADP
ispiv-120	162	16	learning	learn	VERB
ispiv-120	162	17	task	task	PROPN
ispiv-120	162	18	ii	ii	PROPN
ispiv-120	162	19	comprise	comprise	VERB
ispiv-120	162	20	significantly	significantly	ADV
ispiv-120	162	21	less	less	ADJ
ispiv-120	162	22	particles	particle	NOUN
ispiv-120	162	23	compared	compare	VERB
ispiv-120	162	24	to	to	ADP
ispiv-120	162	25	learning	learn	VERB
ispiv-120	162	26	task	task	NOUN
ispiv-120	162	27	i	i	PROPN
ispiv-120	162	28	and	and	CCONJ
ispiv-120	162	29	consequently	consequently	ADV
ispiv-120	162	30	,	,	PUNCT
ispiv-120	162	31	less	less	ADJ
ispiv-120	162	32	information	information	NOUN
ispiv-120	162	33	of	of	ADP
ispiv-120	162	34	the	the	DET
ispiv-120	162	35	underlying	underlie	VERB
ispiv-120	162	36	flow	flow	NOUN
ispiv-120	162	37	can	can	AUX
ispiv-120	162	38	be	be	AUX
ispiv-120	162	39	evaluated	evaluate	VERB
ispiv-120	162	40	while	while	SCONJ
ispiv-120	162	41	more	more	ADJ
ispiv-120	162	42	regions	region	NOUN
ispiv-120	162	43	with	with	ADP
ispiv-120	162	44	low	low	ADJ
ispiv-120	162	45	texture	texture	NOUN
ispiv-120	162	46	occur	occur	NOUN
ispiv-120	162	47	.	.	PUNCT
ispiv-120	163	1	the	the	DET
ispiv-120	163	2	displacement	displacement	ADJ
ispiv-120	163	3	profile	profile	NOUN
ispiv-120	163	4	confirms	confirm	VERB
ispiv-120	163	5	these	these	DET
ispiv-120	163	6	findings	finding	NOUN
ispiv-120	163	7	highlighting	highlight	VERB
ispiv-120	163	8	that	that	SCONJ
ispiv-120	163	9	the	the	DET
ispiv-120	163	10	raft	raft	NOUN
ispiv-120	163	11	inspired	inspire	VERB
ispiv-120	163	12	approaches	approach	NOUN
ispiv-120	163	13	and	and	CCONJ
ispiv-120	163	14	our	our	PRON
ispiv-120	163	15	cross	cross	ADJ
ispiv-120	163	16	-	-	ADJ
ispiv-120	163	17	correlation	correlation	ADJ
ispiv-120	163	18	algorithm	algorithm	NOUN
ispiv-120	163	19	closely	closely	ADV
ispiv-120	163	20	match	match	VERB
ispiv-120	163	21	the	the	DET
ispiv-120	163	22	ground	ground	NOUN
ispiv-120	163	23	-	-	PUNCT
ispiv-120	163	24	truth	truth	NOUN
ispiv-120	163	25	.	.	PUNCT
ispiv-120	164	1	in	in	ADP
ispiv-120	164	2	contrast	contrast	NOUN
ispiv-120	164	3	,	,	PUNCT
ispiv-120	164	4	unliteflownet	unliteflownet	NOUN
ispiv-120	164	5	-	-	PUNCT
ispiv-120	164	6	piv	piv	NOUN
ispiv-120	164	7	shows	show	VERB
ispiv-120	164	8	some	some	DET
ispiv-120	164	9	slight	slight	ADJ
ispiv-120	164	10	deviations	deviation	NOUN
ispiv-120	164	11	and	and	CCONJ
ispiv-120	164	12	a	a	DET
ispiv-120	164	13	more	more	ADV
ispiv-120	164	14	noisy	noisy	ADJ
ispiv-120	164	15	distribution	distribution	NOUN
ispiv-120	164	16	similar	similar	ADJ
ispiv-120	164	17	to	to	ADP
ispiv-120	164	18	previous	previous	ADJ
ispiv-120	164	19	findings	finding	NOUN
ispiv-120	164	20	.	.	PUNCT
ispiv-120	165	1	test	test	NOUN
ispiv-120	165	2	runs	run	VERB
ispiv-120	165	3	on	on	ADP
ispiv-120	165	4	a	a	DET
ispiv-120	165	5	turbulent	turbulent	ADJ
ispiv-120	165	6	boundary	boundary	ADJ
ispiv-120	165	7	layer	layer	NOUN
ispiv-120	165	8	confirm	confirm	VERB
ispiv-120	165	9	these	these	DET
ispiv-120	165	10	results	result	NOUN
ispiv-120	165	11	.	.	PUNCT
ispiv-120	166	1	overall	overall	ADJ
ispiv-120	166	2	,	,	PUNCT
ispiv-120	166	3	one	one	NUM
ispiv-120	166	4	notices	notice	VERB
ispiv-120	166	5	that	that	SCONJ
ispiv-120	166	6	raft32	raft32	NOUN
ispiv-120	166	7	-	-	PUNCT
ispiv-120	166	8	piv	piv	NOUN
ispiv-120	166	9	follows	follow	VERB
ispiv-120	166	10	the	the	DET
ispiv-120	166	11	ground	ground	NOUN
ispiv-120	166	12	-	-	PUNCT
ispiv-120	166	13	truth	truth	NOUN
ispiv-120	166	14	most	most	ADV
ispiv-120	166	15	accurately	accurately	ADV
ispiv-120	166	16	only	only	ADV
ispiv-120	166	17	deviating	deviate	VERB
ispiv-120	166	18	slightly	slightly	ADV
ispiv-120	166	19	in	in	ADP
ispiv-120	166	20	regions	region	NOUN
ispiv-120	166	21	of	of	ADP
ispiv-120	166	22	local	local	ADJ
ispiv-120	166	23	extrema	extrema	NOUN
ispiv-120	166	24	.	.	PUNCT
ispiv-120	167	1	the	the	DET
ispiv-120	167	2	unsupervised	unsupervised	ADJ
ispiv-120	167	3	uraft	uraft	NOUN
ispiv-120	167	4	-	-	PUNCT
ispiv-120	167	5	piv	piv	NOUN
ispiv-120	167	6	similarly	similarly	ADV
ispiv-120	167	7	matches	match	VERB
ispiv-120	167	8	the	the	DET
ispiv-120	167	9	overall	overall	ADJ
ispiv-120	167	10	trend	trend	NOUN
ispiv-120	167	11	of	of	ADP
ispiv-120	167	12	the	the	DET
ispiv-120	167	13	ground	ground	NOUN
ispiv-120	167	14	-	-	PUNCT
ispiv-120	167	15	truth	truth	NOUN
ispiv-120	167	16	,	,	PUNCT
ispiv-120	167	17	but	but	CCONJ
ispiv-120	167	18	can	can	AUX
ispiv-120	167	19	not	not	PART
ispiv-120	167	20	reach	reach	VERB
ispiv-120	167	21	the	the	DET
ispiv-120	167	22	accuracy	accuracy	NOUN
ispiv-120	167	23	of	of	ADP
ispiv-120	167	24	its	its	PRON
ispiv-120	167	25	supervised	supervised	ADJ
ispiv-120	167	26	counterpart	counterpart	NOUN
ispiv-120	167	27	.	.	PUNCT
ispiv-120	168	1	however	however	ADV
ispiv-120	168	2	,	,	PUNCT
ispiv-120	168	3	it	it	PRON
ispiv-120	168	4	still	still	ADV
ispiv-120	168	5	matches	match	VERB
ispiv-120	168	6	the	the	DET
ispiv-120	168	7	performance	performance	NOUN
ispiv-120	168	8	of	of	ADP
ispiv-120	168	9	our	our	PRON
ispiv-120	168	10	cross	cross	NOUN
ispiv-120	168	11	-	-	NOUN
ispiv-120	168	12	correlation	correlation	NOUN
ispiv-120	168	13	based	base	VERB
ispiv-120	168	14	method	method	NOUN
ispiv-120	168	15	and	and	CCONJ
ispiv-120	168	16	proves	prove	VERB
ispiv-120	168	17	its	its	PRON
ispiv-120	168	18	effectiveness	effectiveness	NOUN
ispiv-120	168	19	in	in	ADP
ispiv-120	168	20	realistic	realistic	ADJ
ispiv-120	168	21	particle	particle	NOUN
ispiv-120	168	22	and	and	CCONJ
ispiv-120	168	23	flow	flow	NOUN
ispiv-120	168	24	conditions	condition	NOUN
ispiv-120	168	25	.	.	PUNCT
ispiv-120	169	1	in	in	ADP
ispiv-120	169	2	our	our	PRON
ispiv-120	169	3	final	final	ADJ
ispiv-120	169	4	test	test	NOUN
ispiv-120	169	5	case	case	NOUN
ispiv-120	169	6	,	,	PUNCT
ispiv-120	169	7	we	we	PRON
ispiv-120	169	8	apply	apply	VERB
ispiv-120	169	9	our	our	PRON
ispiv-120	169	10	uraft	uraft	NOUN
ispiv-120	169	11	-	-	PUNCT
ispiv-120	169	12	piv	piv	NOUN
ispiv-120	169	13	model	model	NOUN
ispiv-120	169	14	trained	train	VERB
ispiv-120	169	15	on	on	ADP
ispiv-120	169	16	the	the	DET
ispiv-120	169	17	dataset	dataset	NOUN
ispiv-120	169	18	of	of	ADP
ispiv-120	169	19	lagemann	lagemann	PROPN
ispiv-120	169	20	et	et	PROPN
ispiv-120	169	21	al	al	PROPN
ispiv-120	169	22	.	.	PROPN
ispiv-120	170	1	(	(	PUNCT
ispiv-120	170	2	2021	2021	NUM
ispiv-120	170	3	)	)	PUNCT
ispiv-120	171	1	to	to	ADP
ispiv-120	171	2	real	real	ADJ
ispiv-120	171	3	-	-	PUNCT
ispiv-120	171	4	world	world	NOUN
ispiv-120	171	5	experimental	experimental	ADJ
ispiv-120	171	6	piv	piv	NOUN
ispiv-120	171	7	data	data	PROPN
ispiv-120	171	8	.	.	PUNCT
ispiv-120	172	1	this	this	DET
ispiv-120	172	2	test	test	NOUN
ispiv-120	172	3	case	case	NOUN
ispiv-120	172	4	consists	consist	VERB
ispiv-120	172	5	of	of	ADP
ispiv-120	172	6	experimental	experimental	ADJ
ispiv-120	172	7	piv	piv	NOUN
ispiv-120	172	8	measurements	measurement	NOUN
ispiv-120	172	9	dealing	deal	VERB
ispiv-120	172	10	with	with	ADP
ispiv-120	172	11	a	a	DET
ispiv-120	172	12	turbulent	turbulent	ADJ
ispiv-120	172	13	wavy	wavy	ADJ
ispiv-120	172	14	channel	channel	NOUN
ispiv-120	172	15	flow	flow	NOUN
ispiv-120	172	16	as	as	SCONJ
ispiv-120	172	17	shown	show	VERB
ispiv-120	172	18	in	in	ADP
ispiv-120	172	19	rubbert	rubbert	NOUN
ispiv-120	172	20	et	et	PROPN
ispiv-120	172	21	al	al	PROPN
ispiv-120	172	22	.	.	PROPN
ispiv-120	173	1	(	(	PUNCT
ispiv-120	173	2	2019	2019	NUM
ispiv-120	173	3	)	)	PUNCT
ispiv-120	173	4	.	.	PUNCT
ispiv-120	174	1	together	together	ADV
ispiv-120	174	2	with	with	ADP
ispiv-120	174	3	flow	flow	NOUN
ispiv-120	174	4	field	field	NOUN
ispiv-120	174	5	predictions	prediction	NOUN
ispiv-120	174	6	of	of	ADP
ispiv-120	174	7	unsupervised	unsupervised	ADJ
ispiv-120	174	8	piv	piv	NOUN
ispiv-120	174	9	networks	network	NOUN
ispiv-120	174	10	and	and	CCONJ
ispiv-120	174	11	our	our	PRON
ispiv-120	174	12	raft	raft	NOUN
ispiv-120	174	13	models	model	NOUN
ispiv-120	174	14	,	,	PUNCT
ispiv-120	174	15	we	we	PRON
ispiv-120	174	16	analyze	analyze	VERB
ispiv-120	174	17	the	the	DET
ispiv-120	174	18	images	image	NOUN
ispiv-120	174	19	using	use	VERB
ispiv-120	174	20	our	our	PRON
ispiv-120	174	21	in	in	ADP
ispiv-120	174	22	-	-	PUNCT
ispiv-120	174	23	house	house	NOUN
ispiv-120	174	24	code	code	NOUN
ispiv-120	174	25	.	.	PUNCT
ispiv-120	175	1	generally	generally	ADV
ispiv-120	175	2	,	,	PUNCT
ispiv-120	175	3	fig	fig	NOUN
ispiv-120	175	4	.	.	PUNCT
ispiv-120	176	1	4	4	NUM
ispiv-120	176	2	evidences	evidence	NOUN
ispiv-120	176	3	that	that	SCONJ
ispiv-120	176	4	both	both	DET
ispiv-120	176	5	raft	raft	NOUN
ispiv-120	176	6	-	-	PUNCT
ispiv-120	176	7	piv	piv	NOUN
ispiv-120	176	8	approaches	approach	NOUN
ispiv-120	176	9	supervised	supervise	VERB
ispiv-120	176	10	and	and	CCONJ
ispiv-120	176	11	unsupervised	unsupervised	ADJ
ispiv-120	176	12	perform	perform	NOUN
ispiv-120	176	13	likewise	likewise	ADV
ispiv-120	176	14	state	state	NOUN
ispiv-120	176	15	-	-	PUNCT
ispiv-120	176	16	of	of	ADP
ispiv-120	176	17	-	-	PUNCT
ispiv-120	176	18	the	the	DET
ispiv-120	176	19	-	-	PUNCT
ispiv-120	176	20	art	art	NOUN
ispiv-120	176	21	cross	cross	NOUN
ispiv-120	176	22	-	-	NOUN
ispiv-120	176	23	correlation	correlation	NOUN
ispiv-120	176	24	based	base	VERB
ispiv-120	176	25	piv	piv	NOUN
ispiv-120	176	26	methods	method	NOUN
ispiv-120	176	27	and	and	CCONJ
ispiv-120	176	28	hence	hence	ADV
ispiv-120	176	29	,	,	PUNCT
ispiv-120	176	30	can	can	AUX
ispiv-120	176	31	serve	serve	VERB
ispiv-120	176	32	as	as	ADP
ispiv-120	176	33	direct	direct	ADJ
ispiv-120	176	34	substitute	substitute	NOUN
ispiv-120	176	35	.	.	PUNCT
ispiv-120	177	1	however	however	ADV
ispiv-120	177	2	,	,	PUNCT
ispiv-120	177	3	we	we	PRON
ispiv-120	177	4	noted	note	VERB
ispiv-120	177	5	that	that	SCONJ
ispiv-120	177	6	the	the	DET
ispiv-120	177	7	prediction	prediction	NOUN
ispiv-120	177	8	results	result	NOUN
ispiv-120	177	9	based	base	VERB
ispiv-120	177	10	on	on	ADP
ispiv-120	177	11	uraft	uraft	NOUN
ispiv-120	177	12	-	-	PUNCT
ispiv-120	177	13	piv	piv	NOUN
ispiv-120	177	14	show	show	VERB
ispiv-120	177	15	some	some	DET
ispiv-120	177	16	spurious	spurious	ADJ
ispiv-120	177	17	estimations	estimation	NOUN
ispiv-120	177	18	in	in	ADP
ispiv-120	177	19	the	the	DET
ispiv-120	177	20	area	area	NOUN
ispiv-120	177	21	of	of	ADP
ispiv-120	177	22	high	high	ADJ
ispiv-120	177	23	displacements	displacement	NOUN
ispiv-120	177	24	(	(	PUNCT
ispiv-120	177	25	≈	≈	PROPN
ispiv-120	177	26	12px	12px	NOUN
ispiv-120	177	27	)	)	PUNCT
ispiv-120	177	28	.	.	PUNCT
ispiv-120	178	1	this	this	PRON
ispiv-120	178	2	is	be	AUX
ispiv-120	178	3	potentially	potentially	ADV
ispiv-120	178	4	based	base	VERB
ispiv-120	178	5	on	on	ADP
ispiv-120	178	6	the	the	DET
ispiv-120	178	7	unsupervised	unsupervised	ADJ
ispiv-120	178	8	loss	loss	NOUN
ispiv-120	178	9	formulation	formulation	NOUN
ispiv-120	178	10	which	which	PRON
ispiv-120	178	11	might	might	AUX
ispiv-120	178	12	not	not	PART
ispiv-120	178	13	be	be	AUX
ispiv-120	178	14	suitable	suitable	ADJ
ispiv-120	178	15	for	for	ADP
ispiv-120	178	16	high	high	ADJ
ispiv-120	178	17	displacements	displacement	NOUN
ispiv-120	178	18	since	since	SCONJ
ispiv-120	178	19	similar	similar	ADJ
ispiv-120	178	20	patterns	pattern	NOUN
ispiv-120	178	21	also	also	ADV
ispiv-120	178	22	occur	occur	VERB
ispiv-120	178	23	for	for	ADP
ispiv-120	178	24	unliteflownet	unliteflownet	NOUN
ispiv-120	178	25	-	-	PUNCT
ispiv-120	178	26	piv	piv	NOUN
ispiv-120	178	27	,	,	PUNCT
ispiv-120	178	28	but	but	CCONJ
ispiv-120	178	29	further	further	ADJ
ispiv-120	178	30	analysis	analysis	NOUN
ispiv-120	178	31	is	be	AUX
ispiv-120	178	32	required	require	VERB
ispiv-120	178	33	.	.	PUNCT
ispiv-120	179	1	moreover	moreover	ADV
ispiv-120	179	2	,	,	PUNCT
ispiv-120	179	3	it	it	PRON
ispiv-120	179	4	is	be	AUX
ispiv-120	179	5	noteworthy	noteworthy	ADJ
ispiv-120	179	6	that	that	SCONJ
ispiv-120	179	7	uraft	uraft	NOUN
ispiv-120	179	8	-	-	PUNCT
ispiv-120	179	9	piv	piv	NOUN
ispiv-120	179	10	clearly	clearly	ADV
ispiv-120	179	11	reduces	reduce	VERB
ispiv-120	179	12	the	the	DET
ispiv-120	179	13	prediction	prediction	NOUN
ispiv-120	179	14	noise	noise	NOUN
ispiv-120	179	15	due	due	ADP
ispiv-120	179	16	to	to	ADP
ispiv-120	179	17	its	its	PRON
ispiv-120	179	18	recurrent	recurrent	ADJ
ispiv-120	179	19	nature	nature	NOUN
ispiv-120	179	20	compared	compare	VERB
ispiv-120	179	21	to	to	ADP
ispiv-120	179	22	its	its	PRON
ispiv-120	179	23	liteflownet	liteflownet	NOUN
ispiv-120	179	24	based	base	VERB
ispiv-120	179	25	competitor	competitor	NOUN
ispiv-120	179	26	.	.	PUNCT
ispiv-120	180	1	please	please	INTJ
ispiv-120	180	2	note	note	VERB
ispiv-120	180	3	that	that	SCONJ
ispiv-120	180	4	our	our	PRON
ispiv-120	180	5	raft	raft	NOUN
ispiv-120	180	6	based	base	VERB
ispiv-120	180	7	approaches	approach	NOUN
ispiv-120	180	8	do	do	AUX
ispiv-120	180	9	not	not	PART
ispiv-120	180	10	involve	involve	VERB
ispiv-120	180	11	any	any	DET
ispiv-120	180	12	post	post	ADJ
ispiv-120	180	13	-	-	ADJ
ispiv-120	180	14	processing	processing	ADJ
ispiv-120	180	15	steps	step	NOUN
ispiv-120	180	16	but	but	CCONJ
ispiv-120	180	17	nevertheless	nevertheless	ADV
ispiv-120	180	18	achieve	achieve	VERB
ispiv-120	180	19	at	at	ADP
ispiv-120	180	20	least	least	ADJ
ispiv-120	180	21	an	an	DET
ispiv-120	180	22	equal	equal	ADJ
ispiv-120	180	23	noise	noise	NOUN
ispiv-120	180	24	level	level	NOUN
ispiv-120	180	25	compared	compare	VERB
ispiv-120	180	26	to	to	ADP
ispiv-120	180	27	gold	gold	NOUN
ispiv-120	180	28	-	-	PUNCT
ispiv-120	180	29	standard	standard	ADJ
ispiv-120	180	30	piv	piv	NOUN
ispiv-120	180	31	algorithms	algorithm	NOUN
ispiv-120	180	32	.	.	PUNCT
ispiv-120	181	1	for	for	ADP
ispiv-120	181	2	instance	instance	NOUN
ispiv-120	181	3	,	,	PUNCT
ispiv-120	181	4	pascalpiv	pascalpiv	NOUN
ispiv-120	181	5	performs	perform	VERB
ispiv-120	181	6	a	a	DET
ispiv-120	181	7	spatial	spatial	ADJ
ispiv-120	181	8	multigrid	multigrid	ADJ
ispiv-120	181	9	cross	cross	ADJ
ispiv-120	181	10	-	-	ADJ
ispiv-120	181	11	correlation	correlation	ADJ
ispiv-120	181	12	scheme	scheme	NOUN
ispiv-120	181	13	in	in	ADP
ispiv-120	181	14	a	a	DET
ispiv-120	181	15	first	first	ADJ
ispiv-120	181	16	step	step	NOUN
ispiv-120	181	17	before	before	ADP
ispiv-120	181	18	computing	compute	VERB
ispiv-120	181	19	the	the	DET
ispiv-120	181	20	local	local	ADJ
ispiv-120	181	21	displacement	displacement	ADJ
ispiv-120	181	22	field	field	NOUN
ispiv-120	181	23	of	of	ADP
ispiv-120	181	24	the	the	DET
ispiv-120	181	25	final	final	ADJ
ispiv-120	181	26	interrogation	interrogation	NOUN
ispiv-120	181	27	window	window	NOUN
ispiv-120	181	28	in	in	ADP
ispiv-120	181	29	25	25	NUM
ispiv-120	181	30	iteration	iteration	NOUN
ispiv-120	181	31	steps	step	NOUN
ispiv-120	181	32	.	.	PUNCT
ispiv-120	182	1	prior	prior	ADV
ispiv-120	182	2	to	to	ADP
ispiv-120	182	3	every	every	DET
ispiv-120	182	4	iteration	iteration	NOUN
ispiv-120	182	5	step	step	NOUN
ispiv-120	182	6	,	,	PUNCT
ispiv-120	182	7	several	several	ADJ
ispiv-120	182	8	validation	validation	NOUN
ispiv-120	182	9	criteria	criterion	NOUN
ispiv-120	182	10	are	be	AUX
ispiv-120	182	11	applied	apply	VERB
ispiv-120	182	12	to	to	PART
ispiv-120	182	13	detect	detect	VERB
ispiv-120	182	14	outliers	outlier	NOUN
ispiv-120	182	15	and	and	CCONJ
ispiv-120	182	16	spurious	spurious	ADJ
ispiv-120	182	17	values	value	NOUN
ispiv-120	182	18	are	be	AUX
ispiv-120	182	19	replaced	replace	VERB
ispiv-120	182	20	using	use	VERB
ispiv-120	182	21	a	a	DET
ispiv-120	182	22	lanczos	lanczos	PROPN
ispiv-120	182	23	interpolation	interpolation	NOUN
ispiv-120	182	24	scheme	scheme	NOUN
ispiv-120	182	25	.	.	PUNCT
ispiv-120	183	1	thus	thus	ADV
ispiv-120	183	2	,	,	PUNCT
ispiv-120	183	3	a	a	DET
ispiv-120	183	4	smooth	smooth	ADJ
ispiv-120	183	5	displacement	displacement	ADJ
ispiv-120	183	6	field	field	NOUN
ispiv-120	183	7	is	be	AUX
ispiv-120	183	8	finally	finally	ADV
ispiv-120	183	9	achieved	achieve	VERB
ispiv-120	183	10	.	.	PUNCT
ispiv-120	184	1	in	in	ADP
ispiv-120	184	2	contrast	contrast	NOUN
ispiv-120	184	3	,	,	PUNCT
ispiv-120	184	4	the	the	DET
ispiv-120	184	5	raft	raft	NOUN
ispiv-120	184	6	model	model	NOUN
ispiv-120	184	7	resembles	resemble	VERB
ispiv-120	184	8	a	a	DET
ispiv-120	184	9	single	single	ADJ
ispiv-120	184	10	-	-	PUNCT
ispiv-120	184	11	shot	shot	NOUN
ispiv-120	184	12	approach	approach	NOUN
ispiv-120	184	13	which	which	PRON
ispiv-120	184	14	solely	solely	ADV
ispiv-120	184	15	operates	operate	VERB
ispiv-120	184	16	on	on	ADP
ispiv-120	184	17	a	a	DET
ispiv-120	184	18	fixed	fix	VERB
ispiv-120	184	19	input	input	NOUN
ispiv-120	184	20	window	window	NOUN
ispiv-120	184	21	without	without	ADP
ispiv-120	184	22	taking	take	VERB
ispiv-120	184	23	further	further	ADJ
ispiv-120	184	24	neighboring	neighboring	NOUN
ispiv-120	184	25	information	information	NOUN
ispiv-120	184	26	into	into	ADP
ispiv-120	184	27	account	account	NOUN
ispiv-120	184	28	.	.	PUNCT
ispiv-120	185	1	considering	consider	VERB
ispiv-120	185	2	this	this	DET
ispiv-120	185	3	key	key	ADJ
ispiv-120	185	4	difference	difference	NOUN
ispiv-120	185	5	,	,	PUNCT
ispiv-120	185	6	the	the	DET
ispiv-120	185	7	low	low	ADJ
ispiv-120	185	8	noise	noise	NOUN
ispiv-120	185	9	level	level	NOUN
ispiv-120	185	10	of	of	ADP
ispiv-120	185	11	raft	raft	NOUN
ispiv-120	185	12	-	-	PUNCT
ispiv-120	185	13	piv	piv	NOUN
ispiv-120	185	14	is	be	AUX
ispiv-120	185	15	quite	quite	ADV
ispiv-120	185	16	astonishing	astonishing	ADJ
ispiv-120	185	17	and	and	CCONJ
ispiv-120	185	18	further	far	ADV
ispiv-120	185	19	proves	prove	VERB
ispiv-120	185	20	for	for	ADP
ispiv-120	185	21	the	the	DET
ispiv-120	185	22	first	first	ADJ
ispiv-120	185	23	time	time	NOUN
ispiv-120	185	24	that	that	PRON
ispiv-120	185	25	unsupervised	unsupervised	ADJ
ispiv-120	185	26	learning	learning	NOUN
ispiv-120	185	27	is	be	AUX
ispiv-120	185	28	a	a	DET
ispiv-120	185	29	viable	viable	ADJ
ispiv-120	185	30	alternative	alternative	NOUN
ispiv-120	185	31	when	when	SCONJ
ispiv-120	185	32	processing	process	VERB
ispiv-120	185	33	arbitrary	arbitrary	ADJ
ispiv-120	185	34	real	real	ADJ
ispiv-120	185	35	-	-	PUNCT
ispiv-120	185	36	world	world	NOUN
ispiv-120	185	37	piv	piv	NOUN
ispiv-120	185	38	images	image	NOUN
ispiv-120	185	39	.	.	PUNCT
ispiv-120	186	1	especially	especially	ADV
ispiv-120	186	2	the	the	DET
ispiv-120	186	3	possibility	possibility	NOUN
ispiv-120	186	4	of	of	ADP
ispiv-120	186	5	training	training	NOUN
ispiv-120	186	6	respectively	respectively	ADV
ispiv-120	186	7	fine	fine	ADV
ispiv-120	186	8	-	-	PUNCT
ispiv-120	186	9	tuning	tune	VERB
ispiv-120	186	10	existing	exist	VERB
ispiv-120	186	11	networks	network	NOUN
ispiv-120	186	12	on	on	ADP
ispiv-120	186	13	real	real	ADJ
ispiv-120	186	14	-	-	PUNCT
ispiv-120	186	15	world	world	NOUN
ispiv-120	186	16	experimental	experimental	ADJ
ispiv-120	186	17	data	datum	NOUN
ispiv-120	186	18	states	state	VERB
ispiv-120	186	19	a	a	DET
ispiv-120	186	20	key	key	ADJ
ispiv-120	186	21	advantage	advantage	NOUN
ispiv-120	186	22	for	for	ADP
ispiv-120	186	23	unsupervised	unsupervised	ADJ
ispiv-120	186	24	learning	learning	NOUN
ispiv-120	186	25	tasks	task	NOUN
ispiv-120	186	26	.	.	PUNCT
ispiv-120	187	1	however	however	ADV
ispiv-120	187	2	,	,	PUNCT
ispiv-120	187	3	detailed	detailed	ADJ
ispiv-120	187	4	studies	study	NOUN
ispiv-120	187	5	on	on	ADP
ispiv-120	187	6	new	new	ADJ
ispiv-120	187	7	loss	loss	NOUN
ispiv-120	187	8	objectives	objective	NOUN
ispiv-120	187	9	and	and	CCONJ
ispiv-120	187	10	their	their	PRON
ispiv-120	187	11	corresponding	corresponding	ADJ
ispiv-120	187	12	effect	effect	NOUN
ispiv-120	187	13	on	on	ADP
ispiv-120	187	14	the	the	DET
ispiv-120	187	15	accuracy	accuracy	NOUN
ispiv-120	187	16	are	be	AUX
ispiv-120	187	17	necessary	necessary	ADJ
ispiv-120	187	18	.	.	PUNCT
ispiv-120	188	1	4	4	NUM
ispiv-120	188	2	conclusions	conclusion	NOUN
ispiv-120	188	3	we	we	PRON
ispiv-120	188	4	studied	study	VERB
ispiv-120	188	5	uraft	uraft	NOUN
ispiv-120	188	6	-	-	PUNCT
ispiv-120	188	7	piv	piv	NOUN
ispiv-120	188	8	,	,	PUNCT
ispiv-120	188	9	an	an	DET
ispiv-120	188	10	unsupervised	unsupervised	ADJ
ispiv-120	188	11	deep	deep	ADJ
ispiv-120	188	12	neural	neural	ADJ
ispiv-120	188	13	network	network	NOUN
ispiv-120	188	14	architecture	architecture	NOUN
ispiv-120	188	15	for	for	ADP
ispiv-120	188	16	optical	optical	ADJ
ispiv-120	188	17	flow	flow	NOUN
ispiv-120	188	18	estimation	estimation	NOUN
ispiv-120	188	19	in	in	ADP
ispiv-120	188	20	piv	piv	NOUN
ispiv-120	188	21	applications	application	NOUN
ispiv-120	188	22	.	.	PUNCT
ispiv-120	189	1	uraft	uraft	NOUN
ispiv-120	189	2	-	-	PUNCT
ispiv-120	189	3	piv	piv	NOUN
ispiv-120	189	4	achieves	achieve	VERB
ispiv-120	189	5	a	a	DET
ispiv-120	189	6	new	new	ADJ
ispiv-120	189	7	state	state	NOUN
ispiv-120	189	8	-	-	PUNCT
ispiv-120	189	9	of	of	ADP
ispiv-120	189	10	-	-	PUNCT
ispiv-120	189	11	the	the	DET
ispiv-120	189	12	-	-	PUNCT
ispiv-120	189	13	art	art	NOUN
ispiv-120	189	14	accuracy	accuracy	NOUN
ispiv-120	189	15	on	on	ADP
ispiv-120	189	16	a	a	DET
ispiv-120	189	17	public	public	ADJ
ispiv-120	189	18	piv	piv	NOUN
ispiv-120	189	19	database	database	NOUN
ispiv-120	189	20	for	for	ADP
ispiv-120	189	21	unsupervised	unsupervised	ADJ
ispiv-120	189	22	learning	learning	NOUN
ispiv-120	189	23	and	and	CCONJ
ispiv-120	189	24	performs	perform	VERB
ispiv-120	189	25	likewise	likewise	ADV
ispiv-120	189	26	supervised	supervise	VERB
ispiv-120	189	27	liteflownet	liteflownet	PROPN
ispiv-120	189	28	based	base	VERB
ispiv-120	189	29	piv	piv	NOUN
ispiv-120	189	30	networks	network	NOUN
ispiv-120	189	31	.	.	PUNCT
ispiv-120	190	1	uraft	uraft	NOUN
ispiv-120	190	2	-	-	PUNCT
ispiv-120	190	3	piv	piv	NOUN
ispiv-120	190	4	also	also	ADV
ispiv-120	190	5	performs	perform	VERB
ispiv-120	190	6	well	well	ADV
ispiv-120	190	7	under	under	ADP
ispiv-120	190	8	more	more	ADV
ispiv-120	190	9	challenging	challenging	ADJ
ispiv-120	190	10	flow	flow	NOUN
ispiv-120	190	11	field	field	NOUN
ispiv-120	190	12	and	and	CCONJ
ispiv-120	190	13	image	image	NOUN
ispiv-120	190	14	conditions	condition	NOUN
ispiv-120	190	15	such	such	ADJ
ispiv-120	190	16	as	as	ADP
ispiv-120	190	17	low	low	ADJ
ispiv-120	190	18	particle	particle	NOUN
ispiv-120	190	19	density	density	NOUN
ispiv-120	190	20	and	and	CCONJ
ispiv-120	190	21	figure	figure	VERB
ispiv-120	190	22	3	3	NUM
ispiv-120	190	23	:	:	PUNCT
ispiv-120	190	24	comparison	comparison	NOUN
ispiv-120	190	25	of	of	ADP
ispiv-120	190	26	displacement	displacement	ADJ
ispiv-120	190	27	fields	field	NOUN
ispiv-120	190	28	and	and	CCONJ
ispiv-120	190	29	profiles	profile	NOUN
ispiv-120	190	30	for	for	ADP
ispiv-120	190	31	a	a	DET
ispiv-120	190	32	laminar	laminar	ADJ
ispiv-120	190	33	and	and	CCONJ
ispiv-120	190	34	turbulent	turbulent	ADJ
ispiv-120	190	35	boundary	boundary	ADJ
ispiv-120	190	36	layer	layer	NOUN
ispiv-120	190	37	.	.	PUNCT
ispiv-120	191	1	in	in	ADP
ispiv-120	191	2	case	case	NOUN
ispiv-120	191	3	of	of	ADP
ispiv-120	191	4	a	a	DET
ispiv-120	191	5	laminar	laminar	ADJ
ispiv-120	191	6	boundary	boundary	ADJ
ispiv-120	191	7	layer	layer	NOUN
ispiv-120	191	8	,	,	PUNCT
ispiv-120	191	9	raft	raft	NOUN
ispiv-120	191	10	based	base	VERB
ispiv-120	191	11	networks	network	NOUN
ispiv-120	191	12	and	and	CCONJ
ispiv-120	191	13	pascalpiv	pascalpiv	NOUN
ispiv-120	191	14	match	match	VERB
ispiv-120	191	15	the	the	DET
ispiv-120	191	16	ground	ground	NOUN
ispiv-120	191	17	-	-	PUNCT
ispiv-120	191	18	truth	truth	NOUN
ispiv-120	191	19	well	well	ADV
ispiv-120	191	20	.	.	PUNCT
ispiv-120	192	1	unliteflownet	unliteflownet	NOUN
ispiv-120	192	2	-	-	PUNCT
ispiv-120	192	3	piv	piv	NOUN
ispiv-120	192	4	follows	follow	VERB
ispiv-120	192	5	the	the	DET
ispiv-120	192	6	overall	overall	ADJ
ispiv-120	192	7	trend	trend	NOUN
ispiv-120	192	8	,	,	PUNCT
ispiv-120	192	9	but	but	CCONJ
ispiv-120	192	10	predicts	predict	VERB
ispiv-120	192	11	noisy	noisy	ADJ
ispiv-120	192	12	results	result	NOUN
ispiv-120	192	13	.	.	PUNCT
ispiv-120	193	1	the	the	DET
ispiv-120	193	2	turbulent	turbulent	ADJ
ispiv-120	193	3	case	case	NOUN
ispiv-120	193	4	reveals	reveal	VERB
ispiv-120	193	5	some	some	DET
ispiv-120	193	6	smoothing	smooth	VERB
ispiv-120	193	7	behaviour	behaviour	NOUN
ispiv-120	193	8	of	of	ADP
ispiv-120	193	9	our	our	PRON
ispiv-120	193	10	raft	raft	NOUN
ispiv-120	193	11	approaches	approach	NOUN
ispiv-120	193	12	,	,	PUNCT
ispiv-120	193	13	but	but	CCONJ
ispiv-120	193	14	still	still	ADV
ispiv-120	193	15	match	match	VERB
ispiv-120	193	16	the	the	DET
ispiv-120	193	17	ground	ground	NOUN
ispiv-120	193	18	-	-	PUNCT
ispiv-120	193	19	truth	truth	NOUN
ispiv-120	193	20	very	very	ADV
ispiv-120	193	21	accurately	accurately	ADV
ispiv-120	193	22	as	as	SCONJ
ispiv-120	193	23	does	do	VERB
ispiv-120	193	24	the	the	DET
ispiv-120	193	25	traditional	traditional	ADJ
ispiv-120	193	26	piv	piv	NOUN
ispiv-120	193	27	algorithm	algorithm	NOUN
ispiv-120	193	28	.	.	PUNCT
ispiv-120	194	1	similar	similar	ADJ
ispiv-120	194	2	to	to	ADP
ispiv-120	194	3	the	the	DET
ispiv-120	194	4	laminar	laminar	ADJ
ispiv-120	194	5	flow	flow	NOUN
ispiv-120	194	6	field	field	NOUN
ispiv-120	194	7	,	,	PUNCT
ispiv-120	194	8	unliteflownet	unliteflownet	NOUN
ispiv-120	194	9	-	-	PUNCT
ispiv-120	194	10	piv	piv	NOUN
ispiv-120	194	11	can	can	AUX
ispiv-120	194	12	roughly	roughly	ADV
ispiv-120	194	13	predict	predict	VERB
ispiv-120	194	14	the	the	DET
ispiv-120	194	15	ground	ground	NOUN
ispiv-120	194	16	-	-	PUNCT
ispiv-120	194	17	truth	truth	NOUN
ispiv-120	194	18	distribution	distribution	NOUN
ispiv-120	194	19	but	but	CCONJ
ispiv-120	194	20	shows	show	VERB
ispiv-120	194	21	significant	significant	ADJ
ispiv-120	194	22	noise	noise	NOUN
ispiv-120	194	23	.	.	PUNCT
ispiv-120	195	1	figure	figure	NOUN
ispiv-120	195	2	4	4	NUM
ispiv-120	195	3	:	:	PUNCT
ispiv-120	195	4	visual	visual	ADJ
ispiv-120	195	5	comparison	comparison	NOUN
ispiv-120	195	6	of	of	ADP
ispiv-120	195	7	raft	raft	NOUN
ispiv-120	195	8	-	-	PUNCT
ispiv-120	195	9	piv	piv	NOUN
ispiv-120	195	10	models	model	NOUN
ispiv-120	195	11	with	with	ADP
ispiv-120	195	12	state	state	NOUN
ispiv-120	195	13	-	-	PUNCT
ispiv-120	195	14	of	of	ADP
ispiv-120	195	15	-	-	PUNCT
ispiv-120	195	16	the	the	DET
ispiv-120	195	17	-	-	PUNCT
ispiv-120	195	18	art	art	NOUN
ispiv-120	195	19	piv	piv	NOUN
ispiv-120	195	20	algorithms	algorithm	NOUN
ispiv-120	195	21	as	as	ADV
ispiv-120	195	22	well	well	ADV
ispiv-120	195	23	as	as	ADP
ispiv-120	195	24	existing	exist	VERB
ispiv-120	195	25	piv	piv	NOUN
ispiv-120	195	26	networks	network	NOUN
ispiv-120	195	27	.	.	PUNCT
ispiv-120	196	1	the	the	DET
ispiv-120	196	2	left	left	ADJ
ispiv-120	196	3	column	column	NOUN
ispiv-120	196	4	represents	represent	VERB
ispiv-120	196	5	the	the	DET
ispiv-120	196	6	results	result	NOUN
ispiv-120	196	7	of	of	ADP
ispiv-120	196	8	all	all	DET
ispiv-120	196	9	available	available	ADJ
ispiv-120	196	10	methods	method	NOUN
ispiv-120	196	11	w.r.t	w.r.t	VERB
ispiv-120	196	12	.	.	PUNCT
ispiv-120	197	1	the	the	DET
ispiv-120	197	2	horizontal	horizontal	ADJ
ispiv-120	197	3	optical	optical	ADJ
ispiv-120	197	4	flow	flow	NOUN
ispiv-120	197	5	component	component	NOUN
ispiv-120	197	6	and	and	CCONJ
ispiv-120	197	7	the	the	DET
ispiv-120	197	8	right	right	ADJ
ispiv-120	197	9	column	column	NOUN
ispiv-120	197	10	depicts	depict	VERB
ispiv-120	197	11	the	the	DET
ispiv-120	197	12	predictions	prediction	NOUN
ispiv-120	197	13	of	of	ADP
ispiv-120	197	14	the	the	DET
ispiv-120	197	15	displacement	displacement	NOUN
ispiv-120	197	16	in	in	ADP
ispiv-120	197	17	the	the	DET
ispiv-120	197	18	vertical	vertical	ADJ
ispiv-120	197	19	direction	direction	NOUN
ispiv-120	197	20	.	.	PUNCT
ispiv-120	198	1	raft32	raft32	NOUN
ispiv-120	198	2	-	-	PUNCT
ispiv-120	198	3	piv	piv	NOUN
ispiv-120	198	4	and	and	CCONJ
ispiv-120	198	5	uraft	uraft	NOUN
ispiv-120	198	6	-	-	PUNCT
ispiv-120	198	7	piv	piv	NOUN
ispiv-120	198	8	perform	perform	NOUN
ispiv-120	198	9	likewise	likewise	ADV
ispiv-120	198	10	with	with	ADP
ispiv-120	198	11	our	our	PRON
ispiv-120	198	12	high	high	ADJ
ispiv-120	198	13	-	-	PUNCT
ispiv-120	198	14	performance	performance	NOUN
ispiv-120	198	15	code	code	NOUN
ispiv-120	198	16	pascalpiv	pascalpiv	NOUN
ispiv-120	198	17	while	while	SCONJ
ispiv-120	198	18	significantly	significantly	ADV
ispiv-120	198	19	increasing	increase	VERB
ispiv-120	198	20	the	the	DET
ispiv-120	198	21	spatial	spatial	ADJ
ispiv-120	198	22	resolution	resolution	NOUN
ispiv-120	198	23	of	of	ADP
ispiv-120	198	24	the	the	DET
ispiv-120	198	25	displacement	displacement	ADJ
ispiv-120	198	26	field	field	NOUN
ispiv-120	198	27	.	.	PUNCT
ispiv-120	199	1	further	far	ADV
ispiv-120	199	2	note	note	VERB
ispiv-120	199	3	that	that	SCONJ
ispiv-120	199	4	these	these	DET
ispiv-120	199	5	neural	neural	ADJ
ispiv-120	199	6	methods	method	NOUN
ispiv-120	199	7	match	match	VERB
ispiv-120	199	8	the	the	DET
ispiv-120	199	9	noise	noise	NOUN
ispiv-120	199	10	level	level	NOUN
ispiv-120	199	11	of	of	ADP
ispiv-120	199	12	pascalpiv	pascalpiv	NOUN
ispiv-120	199	13	without	without	ADP
ispiv-120	199	14	interpolating	interpolate	VERB
ispiv-120	199	15	spurious	spurious	ADJ
ispiv-120	199	16	displacement	displacement	ADJ
ispiv-120	199	17	vectors	vector	NOUN
ispiv-120	199	18	using	use	VERB
ispiv-120	199	19	neighboring	neighboring	NOUN
ispiv-120	199	20	data	datum	NOUN
ispiv-120	199	21	points	point	NOUN
ispiv-120	199	22	and	and	CCONJ
ispiv-120	199	23	hence	hence	ADV
ispiv-120	199	24	,	,	PUNCT
ispiv-120	199	25	resemble	resemble	VERB
ispiv-120	199	26	single	single	ADJ
ispiv-120	199	27	-	-	PUNCT
ispiv-120	199	28	shot	shot	NOUN
ispiv-120	199	29	methods	method	NOUN
ispiv-120	199	30	.	.	PUNCT
ispiv-120	200	1	changing	change	VERB
ispiv-120	200	2	light	light	ADJ
ispiv-120	200	3	conditions	condition	NOUN
ispiv-120	200	4	that	that	PRON
ispiv-120	200	5	are	be	AUX
ispiv-120	200	6	important	important	ADJ
ispiv-120	200	7	for	for	ADP
ispiv-120	200	8	many	many	ADJ
ispiv-120	200	9	real	real	ADJ
ispiv-120	200	10	-	-	PUNCT
ispiv-120	200	11	world	world	NOUN
ispiv-120	200	12	applications	application	NOUN
ispiv-120	200	13	.	.	PUNCT
ispiv-120	201	1	our	our	PRON
ispiv-120	201	2	tests	test	NOUN
ispiv-120	201	3	show	show	VERB
ispiv-120	201	4	that	that	SCONJ
ispiv-120	201	5	uraftpiv	uraftpiv	NOUN
ispiv-120	201	6	accurately	accurately	ADV
ispiv-120	201	7	predicts	predict	VERB
ispiv-120	201	8	displacements	displacement	NOUN
ispiv-120	201	9	while	while	SCONJ
ispiv-120	201	10	significantly	significantly	ADV
ispiv-120	201	11	reducing	reduce	VERB
ispiv-120	201	12	the	the	DET
ispiv-120	201	13	noise	noise	NOUN
ispiv-120	201	14	level	level	NOUN
ispiv-120	201	15	,	,	PUNCT
ispiv-120	201	16	most	most	ADV
ispiv-120	201	17	likely	likely	ADJ
ispiv-120	201	18	due	due	ADP
ispiv-120	201	19	to	to	ADP
ispiv-120	201	20	its	its	PRON
ispiv-120	201	21	recurrent	recurrent	ADJ
ispiv-120	201	22	nature	nature	NOUN
ispiv-120	201	23	.	.	PUNCT
ispiv-120	202	1	we	we	PRON
ispiv-120	202	2	also	also	ADV
ispiv-120	202	3	noticed	notice	VERB
ispiv-120	202	4	that	that	SCONJ
ispiv-120	202	5	our	our	PRON
ispiv-120	202	6	unsupervised	unsupervised	ADJ
ispiv-120	202	7	model	model	NOUN
ispiv-120	202	8	under-/overestimates	under-/overestimate	VERB
ispiv-120	202	9	the	the	DET
ispiv-120	202	10	local	local	ADJ
ispiv-120	202	11	displacement	displacement	NOUN
ispiv-120	202	12	in	in	ADP
ispiv-120	202	13	regions	region	NOUN
ispiv-120	202	14	dominated	dominate	VERB
ispiv-120	202	15	by	by	ADP
ispiv-120	202	16	strong	strong	ADJ
ispiv-120	202	17	gradients	gradient	NOUN
ispiv-120	202	18	since	since	SCONJ
ispiv-120	202	19	the	the	DET
ispiv-120	202	20	unsupervised	unsupervised	ADJ
ispiv-120	202	21	loss	loss	NOUN
ispiv-120	202	22	objective	objective	NOUN
ispiv-120	202	23	encourages	encourage	VERB
ispiv-120	202	24	the	the	DET
ispiv-120	202	25	network	network	NOUN
ispiv-120	202	26	to	to	PART
ispiv-120	202	27	regularize	regularize	VERB
ispiv-120	202	28	the	the	DET
ispiv-120	202	29	optical	optical	ADJ
ispiv-120	202	30	flow	flow	NOUN
ispiv-120	202	31	.	.	PUNCT
ispiv-120	203	1	these	these	DET
ispiv-120	203	2	findings	finding	NOUN
ispiv-120	203	3	suggest	suggest	VERB
ispiv-120	203	4	that	that	SCONJ
ispiv-120	203	5	the	the	DET
ispiv-120	203	6	loss	loss	NOUN
ispiv-120	203	7	functions	function	NOUN
ispiv-120	203	8	currently	currently	ADV
ispiv-120	203	9	used	use	VERB
ispiv-120	203	10	might	might	AUX
ispiv-120	203	11	be	be	AUX
ispiv-120	203	12	a	a	DET
ispiv-120	203	13	limiting	limit	VERB
ispiv-120	203	14	factor	factor	NOUN
ispiv-120	203	15	for	for	ADP
ispiv-120	203	16	the	the	DET
ispiv-120	203	17	performance	performance	NOUN
ispiv-120	203	18	of	of	ADP
ispiv-120	203	19	unsupervised	unsupervised	ADJ
ispiv-120	203	20	optical	optical	ADJ
ispiv-120	203	21	flow	flow	NOUN
ispiv-120	203	22	estimation	estimation	NOUN
ispiv-120	203	23	.	.	PUNCT
ispiv-120	204	1	current	current	ADJ
ispiv-120	204	2	state	state	NOUN
ispiv-120	204	3	-	-	PUNCT
ispiv-120	204	4	of	of	ADP
ispiv-120	204	5	-	-	PUNCT
ispiv-120	204	6	the	the	DET
ispiv-120	204	7	-	-	PUNCT
ispiv-120	204	8	art	art	NOUN
ispiv-120	204	9	unsupervised	unsupervised	ADJ
ispiv-120	204	10	loss	loss	NOUN
ispiv-120	204	11	objectives	objective	NOUN
ispiv-120	204	12	are	be	AUX
ispiv-120	204	13	useful	useful	ADJ
ispiv-120	204	14	,	,	PUNCT
ispiv-120	204	15	but	but	CCONJ
ispiv-120	204	16	by	by	ADP
ispiv-120	204	17	far	far	ADV
ispiv-120	204	18	not	not	PART
ispiv-120	204	19	as	as	ADV
ispiv-120	204	20	effective	effective	ADJ
ispiv-120	204	21	as	as	ADP
ispiv-120	204	22	supervising	supervise	VERB
ispiv-120	204	23	the	the	DET
ispiv-120	204	24	network	network	NOUN
ispiv-120	204	25	based	base	VERB
ispiv-120	204	26	on	on	ADP
ispiv-120	204	27	a	a	DET
ispiv-120	204	28	ground	ground	NOUN
ispiv-120	204	29	-	-	PUNCT
ispiv-120	204	30	truth	truth	NOUN
ispiv-120	204	31	meaning	mean	VERB
ispiv-120	204	32	that	that	SCONJ
ispiv-120	204	33	more	more	ADV
ispiv-120	204	34	sophisticated	sophisticated	ADJ
ispiv-120	204	35	loss	loss	NOUN
ispiv-120	204	36	objective	objective	NOUN
ispiv-120	204	37	can	can	AUX
ispiv-120	204	38	significantly	significantly	ADV
ispiv-120	204	39	boost	boost	VERB
ispiv-120	204	40	the	the	DET
ispiv-120	204	41	accuracy	accuracy	NOUN
ispiv-120	204	42	of	of	ADP
ispiv-120	204	43	unsupervised	unsupervised	ADJ
ispiv-120	204	44	optical	optical	ADJ
ispiv-120	204	45	flow	flow	NOUN
ispiv-120	204	46	estimation	estimation	NOUN
ispiv-120	204	47	.	.	PUNCT
ispiv-120	205	1	applying	apply	VERB
ispiv-120	205	2	uraft	uraft	NOUN
ispiv-120	205	3	-	-	PUNCT
ispiv-120	205	4	piv	piv	NOUN
ispiv-120	205	5	in	in	ADP
ispiv-120	205	6	an	an	DET
ispiv-120	205	7	out	out	ADJ
ispiv-120	205	8	-	-	PUNCT
ispiv-120	205	9	of	of	ADP
ispiv-120	205	10	-	-	PUNCT
ispiv-120	205	11	the	the	DET
ispiv-120	205	12	-	-	PUNCT
ispiv-120	205	13	box	box	NOUN
ispiv-120	205	14	fashion	fashion	NOUN
ispiv-120	205	15	to	to	ADP
ispiv-120	205	16	experimental	experimental	ADJ
ispiv-120	205	17	piv	piv	NOUN
ispiv-120	205	18	data	datum	NOUN
ispiv-120	205	19	demonstrates	demonstrate	VERB
ispiv-120	205	20	its	its	PRON
ispiv-120	205	21	generalization	generalization	NOUN
ispiv-120	205	22	capabilities	capability	NOUN
ispiv-120	205	23	and	and	CCONJ
ispiv-120	205	24	its	its	PRON
ispiv-120	205	25	ability	ability	NOUN
ispiv-120	205	26	to	to	PART
ispiv-120	205	27	significantly	significantly	ADV
ispiv-120	205	28	improve	improve	VERB
ispiv-120	205	29	the	the	DET
ispiv-120	205	30	spatial	spatial	ADJ
ispiv-120	205	31	resolution	resolution	NOUN
ispiv-120	205	32	while	while	SCONJ
ispiv-120	205	33	otherwise	otherwise	ADV
ispiv-120	205	34	matching	match	VERB
ispiv-120	205	35	state	state	NOUN
ispiv-120	205	36	-	-	PUNCT
ispiv-120	205	37	of	of	ADP
ispiv-120	205	38	-	-	PUNCT
ispiv-120	205	39	the	the	DET
ispiv-120	205	40	-	-	PUNCT
ispiv-120	205	41	art	art	NOUN
ispiv-120	205	42	piv	piv	NOUN
ispiv-120	205	43	algorithms	algorithm	NOUN
ispiv-120	205	44	.	.	PUNCT
ispiv-120	206	1	future	future	ADJ
ispiv-120	206	2	work	work	NOUN
ispiv-120	206	3	will	will	AUX
ispiv-120	206	4	incorporate	incorporate	VERB
ispiv-120	206	5	further	further	ADJ
ispiv-120	206	6	studies	study	NOUN
ispiv-120	206	7	targeting	target	VERB
ispiv-120	206	8	the	the	DET
ispiv-120	206	9	development	development	NOUN
ispiv-120	206	10	of	of	ADP
ispiv-120	206	11	more	more	ADV
ispiv-120	206	12	suitable	suitable	ADJ
ispiv-120	206	13	penalty	penalty	NOUN
ispiv-120	206	14	terms	term	NOUN
ispiv-120	206	15	.	.	PUNCT
ispiv-120	207	1	acknowledgements	acknowledgement	NOUN
ispiv-120	207	2	the	the	DET
ispiv-120	207	3	authors	author	NOUN
ispiv-120	207	4	gratefully	gratefully	ADV
ispiv-120	207	5	acknowledge	acknowledge	VERB
ispiv-120	207	6	the	the	DET
ispiv-120	207	7	gauss	gauss	ADJ
ispiv-120	207	8	centre	centre	PROPN
ispiv-120	207	9	for	for	ADP
ispiv-120	207	10	supercomputing	supercomputing	NOUN
ispiv-120	207	11	e.v	e.v	PROPN
ispiv-120	207	12	.	.	PUNCT
ispiv-120	207	13	(	(	PUNCT
ispiv-120	207	14	www.gauss-centre.eu	www.gauss-centre.eu	NOUN
ispiv-120	207	15	)	)	PUNCT
ispiv-120	207	16	for	for	ADP
ispiv-120	207	17	funding	fund	VERB
ispiv-120	207	18	this	this	DET
ispiv-120	207	19	project	project	NOUN
ispiv-120	207	20	by	by	ADP
ispiv-120	207	21	providing	provide	VERB
ispiv-120	207	22	computing	compute	VERB
ispiv-120	207	23	time	time	NOUN
ispiv-120	207	24	on	on	ADP
ispiv-120	207	25	the	the	DET
ispiv-120	207	26	gcs	gcs	PROPN
ispiv-120	207	27	supercomputers	supercomputer	NOUN
ispiv-120	207	28	hawk	hawk	VERB
ispiv-120	207	29	at	at	ADP
ispiv-120	207	30	höchstleistungsrechenzentrum	höchstleistungsrechenzentrum	PROPN
ispiv-120	207	31	stuttgart	stuttgart	PROPN
ispiv-120	207	32	(	(	PUNCT
ispiv-120	207	33	www.hlrs.de	www.hlrs.de	PROPN
ispiv-120	207	34	)	)	PUNCT
ispiv-120	207	35	and	and	CCONJ
ispiv-120	207	36	juwels	juwel	NOUN
ispiv-120	207	37	at	at	ADP
ispiv-120	207	38	the	the	DET
ispiv-120	207	39	forschungszentrum	forschungszentrum	ADJ
ispiv-120	207	40	jülich	jülich	PROPN
ispiv-120	207	41	(	(	PUNCT
ispiv-120	207	42	www.fz-juelich.de	www.fz-juelich.de	NOUN
ispiv-120	207	43	)	)	PUNCT
ispiv-120	207	44	.	.	PUNCT
ispiv-120	208	1	references	reference	NOUN
ispiv-120	208	2	astarita	astarita	PROPN
ispiv-120	208	3	t	t	PROPN
ispiv-120	208	4	and	and	CCONJ
ispiv-120	208	5	cardone	cardone	PROPN
ispiv-120	208	6	g	g	PROPN
ispiv-120	208	7	(	(	PUNCT
ispiv-120	208	8	2005	2005	NUM
ispiv-120	208	9	)	)	PUNCT
ispiv-120	208	10	analysis	analysis	NOUN
ispiv-120	208	11	of	of	ADP
ispiv-120	208	12	interpolation	interpolation	NOUN
ispiv-120	208	13	schemes	scheme	NOUN
ispiv-120	208	14	for	for	ADP
ispiv-120	208	15	image	image	NOUN
ispiv-120	208	16	deformation	deformation	NOUN
ispiv-120	208	17	methods	method	NOUN
ispiv-120	208	18	in	in	ADP
ispiv-120	208	19	piv	piv	NOUN
ispiv-120	208	20	.	.	PUNCT
ispiv-120	209	1	experiments	experiment	NOUN
ispiv-120	209	2	in	in	ADP
ispiv-120	209	3	fluids	fluid	NOUN
ispiv-120	209	4	38:233–243	38:233–243	PROPN
ispiv-120	209	5	cai	cai	X
ispiv-120	209	6	s	s	PROPN
ispiv-120	209	7	,	,	PUNCT
ispiv-120	209	8	liang	liang	PROPN
ispiv-120	209	9	j	j	PROPN
ispiv-120	209	10	,	,	PUNCT
ispiv-120	209	11	gao	gao	PROPN
ispiv-120	209	12	q	q	PROPN
ispiv-120	209	13	,	,	PUNCT
ispiv-120	209	14	xu	xu	PROPN
ispiv-120	209	15	c	c	X
ispiv-120	209	16	,	,	PUNCT
ispiv-120	209	17	and	and	CCONJ
ispiv-120	209	18	wei	wei	PROPN
ispiv-120	209	19	r	r	PROPN
ispiv-120	209	20	(	(	PUNCT
ispiv-120	209	21	2019a	2019a	NUM
ispiv-120	209	22	)	)	PUNCT
ispiv-120	209	23	particle	particle	NOUN
ispiv-120	209	24	image	image	NOUN
ispiv-120	209	25	velocimetry	velocimetry	NOUN
ispiv-120	209	26	based	base	VERB
ispiv-120	209	27	on	on	ADP
ispiv-120	209	28	a	a	DET
ispiv-120	209	29	deep	deep	ADJ
ispiv-120	209	30	learning	learning	NOUN
ispiv-120	209	31	motion	motion	NOUN
ispiv-120	209	32	estimator	estimator	NOUN
ispiv-120	209	33	.	.	PUNCT
ispiv-120	210	1	ieee	ieee	NOUN
ispiv-120	210	2	transactions	transaction	NOUN
ispiv-120	210	3	on	on	ADP
ispiv-120	210	4	instrumentation	instrumentation	NOUN
ispiv-120	210	5	and	and	CCONJ
ispiv-120	210	6	measurement	measurement	NOUN
ispiv-120	211	1	69:3538–3554	69:3538–3554	NUM
ispiv-120	211	2	cai	cai	X
ispiv-120	211	3	s	s	PROPN
ispiv-120	211	4	,	,	PUNCT
ispiv-120	211	5	zhou	zhou	PROPN
ispiv-120	211	6	s	s	PROPN
ispiv-120	211	7	,	,	PUNCT
ispiv-120	211	8	xu	xu	PROPN
ispiv-120	212	1	c	c	X
ispiv-120	212	2	,	,	PUNCT
ispiv-120	212	3	and	and	CCONJ
ispiv-120	212	4	gao	gao	PROPN
ispiv-120	212	5	q	q	PROPN
ispiv-120	212	6	(	(	PUNCT
ispiv-120	212	7	2019b	2019b	NOUN
ispiv-120	212	8	)	)	PUNCT
ispiv-120	212	9	dense	dense	ADJ
ispiv-120	212	10	motion	motion	NOUN
ispiv-120	212	11	estimation	estimation	NOUN
ispiv-120	212	12	of	of	ADP
ispiv-120	212	13	particle	particle	NOUN
ispiv-120	212	14	images	image	NOUN
ispiv-120	212	15	via	via	ADP
ispiv-120	212	16	a	a	DET
ispiv-120	212	17	convolutional	convolutional	ADJ
ispiv-120	212	18	neural	neural	ADJ
ispiv-120	212	19	network	network	NOUN
ispiv-120	212	20	.	.	PUNCT
ispiv-120	213	1	experiments	experiment	NOUN
ispiv-120	213	2	in	in	ADP
ispiv-120	213	3	fluids	fluid	NOUN
ispiv-120	213	4	60:73	60:73	NUM
ispiv-120	213	5	dosovitskiy	dosovitskiy	NOUN
ispiv-120	213	6	a	a	PRON
ispiv-120	213	7	,	,	PUNCT
ispiv-120	213	8	fischer	fischer	PROPN
ispiv-120	213	9	p	p	PROPN
ispiv-120	213	10	,	,	PUNCT
ispiv-120	213	11	ilg	ilg	PROPN
ispiv-120	213	12	e	e	PROPN
ispiv-120	213	13	,	,	PUNCT
ispiv-120	213	14	hausser	hausser	NOUN
ispiv-120	213	15	p	p	NOUN
ispiv-120	213	16	,	,	PUNCT
ispiv-120	213	17	hazirbas	hazirbas	PROPN
ispiv-120	213	18	c	c	NOUN
ispiv-120	213	19	,	,	PUNCT
ispiv-120	213	20	golkov	golkov	PROPN
ispiv-120	213	21	v	v	NOUN
ispiv-120	213	22	,	,	PUNCT
ispiv-120	213	23	van	van	PROPN
ispiv-120	213	24	der	der	NOUN
ispiv-120	213	25	smagt	smagt	VERB
ispiv-120	213	26	p	p	NOUN
ispiv-120	213	27	,	,	PUNCT
ispiv-120	213	28	cremers	cremer	NOUN
ispiv-120	213	29	d	d	NOUN
ispiv-120	213	30	,	,	PUNCT
ispiv-120	213	31	and	and	CCONJ
ispiv-120	213	32	brox	brox	PROPN
ispiv-120	213	33	t	t	PROPN
ispiv-120	213	34	(	(	PUNCT
ispiv-120	213	35	2015	2015	NUM
ispiv-120	213	36	)	)	PUNCT
ispiv-120	213	37	flownet	flownet	NOUN
ispiv-120	213	38	:	:	PUNCT
ispiv-120	213	39	learning	learn	VERB
ispiv-120	213	40	optical	optical	ADJ
ispiv-120	213	41	flow	flow	NOUN
ispiv-120	213	42	with	with	ADP
ispiv-120	213	43	convolutional	convolutional	ADJ
ispiv-120	213	44	networks	network	NOUN
ispiv-120	213	45	.	.	PUNCT
ispiv-120	214	1	in	in	ADP
ispiv-120	214	2	proceedings	proceeding	NOUN
ispiv-120	214	3	of	of	ADP
ispiv-120	214	4	the	the	DET
ispiv-120	214	5	ieee	ieee	NOUN
ispiv-120	214	6	international	international	PROPN
ispiv-120	214	7	conference	conference	NOUN
ispiv-120	214	8	on	on	ADP
ispiv-120	214	9	computer	computer	NOUN
ispiv-120	214	10	vision	vision	NOUN
ispiv-120	214	11	.	.	PUNCT
ispiv-120	215	1	pages	page	NOUN
ispiv-120	215	2	2758–2766	2758–2766	NUM
ispiv-120	215	3	hui	hui	PROPN
ispiv-120	215	4	tw	tw	PROPN
ispiv-120	215	5	,	,	PUNCT
ispiv-120	215	6	tang	tang	PROPN
ispiv-120	215	7	x	x	X
ispiv-120	215	8	,	,	PUNCT
ispiv-120	215	9	and	and	CCONJ
ispiv-120	215	10	change	change	VERB
ispiv-120	215	11	loy	loy	PROPN
ispiv-120	215	12	c	c	PROPN
ispiv-120	215	13	(	(	PUNCT
ispiv-120	215	14	2018	2018	NUM
ispiv-120	215	15	)	)	PUNCT
ispiv-120	215	16	liteflownet	liteflownet	NOUN
ispiv-120	215	17	:	:	PUNCT
ispiv-120	215	18	a	a	DET
ispiv-120	215	19	lightweight	lightweight	ADJ
ispiv-120	215	20	convolutional	convolutional	ADJ
ispiv-120	215	21	neural	neural	ADJ
ispiv-120	215	22	network	network	NOUN
ispiv-120	215	23	for	for	ADP
ispiv-120	215	24	optical	optical	ADJ
ispiv-120	215	25	flow	flow	NOUN
ispiv-120	215	26	estimation	estimation	NOUN
ispiv-120	215	27	.	.	PUNCT
ispiv-120	216	1	in	in	ADP
ispiv-120	216	2	proceedings	proceeding	NOUN
ispiv-120	216	3	of	of	ADP
ispiv-120	216	4	the	the	DET
ispiv-120	216	5	ieee	ieee	NOUN
ispiv-120	216	6	conference	conference	NOUN
ispiv-120	216	7	on	on	ADP
ispiv-120	216	8	computer	computer	NOUN
ispiv-120	216	9	vision	vision	NOUN
ispiv-120	216	10	and	and	CCONJ
ispiv-120	216	11	pattern	pattern	NOUN
ispiv-120	216	12	recognition	recognition	NOUN
ispiv-120	216	13	.	.	PUNCT
ispiv-120	217	1	pages	page	NOUN
ispiv-120	217	2	8981–8989	8981–8989	NUM
ispiv-120	217	3	jonschkowski	jonschkowski	PROPN
ispiv-120	217	4	r	r	NOUN
ispiv-120	217	5	,	,	PUNCT
ispiv-120	217	6	stone	stone	NOUN
ispiv-120	217	7	a	a	NOUN
ispiv-120	217	8	,	,	PUNCT
ispiv-120	217	9	barron	barron	PROPN
ispiv-120	217	10	jt	jt	PROPN
ispiv-120	217	11	,	,	PUNCT
ispiv-120	217	12	gordon	gordon	PROPN
ispiv-120	217	13	a	a	PRON
ispiv-120	217	14	,	,	PUNCT
ispiv-120	217	15	konolige	konolige	ADJ
ispiv-120	217	16	k	k	NOUN
ispiv-120	217	17	,	,	PUNCT
ispiv-120	217	18	and	and	CCONJ
ispiv-120	217	19	angelova	angelova	PROPN
ispiv-120	217	20	a	a	DET
ispiv-120	217	21	(	(	PUNCT
ispiv-120	217	22	2020	2020	NUM
ispiv-120	217	23	)	)	PUNCT
ispiv-120	217	24	what	what	PRON
ispiv-120	217	25	matters	matter	VERB
ispiv-120	217	26	in	in	ADP
ispiv-120	217	27	unsupervised	unsupervised	ADJ
ispiv-120	217	28	optical	optical	ADJ
ispiv-120	217	29	flow	flow	NOUN
ispiv-120	217	30	.	.	PUNCT
ispiv-120	218	1	arxiv	arxiv	PROPN
ispiv-120	218	2	preprint	preprint	VERB
ispiv-120	218	3	arxiv:200604902	arxiv:200604902	ADP
ispiv-120	218	4	1:3	1:3	NUM
ispiv-120	218	5	kingma	kingma	PROPN
ispiv-120	218	6	dp	dp	PROPN
ispiv-120	218	7	and	and	CCONJ
ispiv-120	218	8	ba	ba	PROPN
ispiv-120	218	9	j	j	PROPN
ispiv-120	218	10	(	(	PUNCT
ispiv-120	218	11	2014	2014	NUM
ispiv-120	218	12	)	)	PUNCT
ispiv-120	219	1	adam	adam	NOUN
ispiv-120	219	2	:	:	PUNCT
ispiv-120	219	3	a	a	DET
ispiv-120	219	4	method	method	NOUN
ispiv-120	219	5	for	for	ADP
ispiv-120	219	6	stochastic	stochastic	ADJ
ispiv-120	219	7	optimization	optimization	NOUN
ispiv-120	219	8	.	.	PUNCT
ispiv-120	220	1	arxiv	arxiv	PROPN
ispiv-120	220	2	preprint	preprint	VERB
ispiv-120	220	3	arxiv:14126980	arxiv:14126980	PRON
ispiv-120	220	4	lagemann	lagemann	NOUN
ispiv-120	220	5	c	c	X
ispiv-120	220	6	,	,	PUNCT
ispiv-120	220	7	lagemann	lagemann	PROPN
ispiv-120	220	8	k	k	NOUN
ispiv-120	220	9	,	,	PUNCT
ispiv-120	220	10	mukherjee	mukherjee	PROPN
ispiv-120	220	11	s	s	PART
ispiv-120	220	12	,	,	PUNCT
ispiv-120	220	13	and	and	CCONJ
ispiv-120	220	14	schröder	schröder	PROPN
ispiv-120	220	15	w	w	PROPN
ispiv-120	220	16	(	(	PUNCT
ispiv-120	220	17	2021	2021	NUM
ispiv-120	220	18	)	)	PUNCT
ispiv-120	220	19	deep	deep	ADJ
ispiv-120	220	20	recurrent	recurrent	ADJ
ispiv-120	220	21	optical	optical	ADJ
ispiv-120	220	22	flow	flow	NOUN
ispiv-120	220	23	learning	learn	VERB
ispiv-120	220	24	for	for	ADP
ispiv-120	220	25	particle	particle	NOUN
ispiv-120	220	26	image	image	NOUN
ispiv-120	220	27	velocimetry	velocimetry	NOUN
ispiv-120	220	28	data	data	PROPN
ispiv-120	220	29	.	.	PUNCT
ispiv-120	221	1	nature	nature	NOUN
ispiv-120	221	2	machine	machine	NOUN
ispiv-120	221	3	intelligence	intelligence	PROPN
ispiv-120	221	4	lee	lee	PROPN
ispiv-120	221	5	y	y	PROPN
ispiv-120	221	6	,	,	PUNCT
ispiv-120	221	7	yang	yang	PROPN
ispiv-120	221	8	h	h	PROPN
ispiv-120	221	9	,	,	PUNCT
ispiv-120	221	10	and	and	CCONJ
ispiv-120	221	11	yin	yin	PROPN
ispiv-120	221	12	z	z	PROPN
ispiv-120	221	13	(	(	PUNCT
ispiv-120	221	14	2017	2017	NUM
ispiv-120	221	15	)	)	PUNCT
ispiv-120	221	16	piv	piv	NOUN
ispiv-120	221	17	-	-	PUNCT
ispiv-120	221	18	dcnn	dcnn	ADJ
ispiv-120	221	19	:	:	PUNCT
ispiv-120	221	20	cascaded	cascade	VERB
ispiv-120	221	21	deep	deep	ADJ
ispiv-120	221	22	convolutional	convolutional	ADJ
ispiv-120	221	23	neural	neural	ADJ
ispiv-120	221	24	networks	network	NOUN
ispiv-120	221	25	for	for	ADP
ispiv-120	221	26	particle	particle	NOUN
ispiv-120	221	27	image	image	NOUN
ispiv-120	221	28	velocimetry	velocimetry	NOUN
ispiv-120	221	29	.	.	PUNCT
ispiv-120	222	1	experiments	experiment	NOUN
ispiv-120	222	2	in	in	ADP
ispiv-120	222	3	fluids	fluid	NOUN
ispiv-120	222	4	58:171	58:171	NUM
ispiv-120	222	5	meister	meister	NOUN
ispiv-120	222	6	s	s	PROPN
ispiv-120	222	7	,	,	PUNCT
ispiv-120	222	8	hur	hur	PROPN
ispiv-120	222	9	j	j	PROPN
ispiv-120	222	10	,	,	PUNCT
ispiv-120	222	11	and	and	CCONJ
ispiv-120	222	12	roth	roth	PROPN
ispiv-120	222	13	s	s	PART
ispiv-120	222	14	(	(	PUNCT
ispiv-120	222	15	2017	2017	NUM
ispiv-120	222	16	)	)	PUNCT
ispiv-120	222	17	unflow	unflow	PROPN
ispiv-120	222	18	:	:	PUNCT
ispiv-120	222	19	unsupervised	unsupervised	ADJ
ispiv-120	222	20	learning	learning	NOUN
ispiv-120	222	21	of	of	ADP
ispiv-120	222	22	optical	optical	ADJ
ispiv-120	222	23	flow	flow	NOUN
ispiv-120	222	24	with	with	ADP
ispiv-120	222	25	a	a	DET
ispiv-120	222	26	bidirectional	bidirectional	ADJ
ispiv-120	222	27	census	census	NOUN
ispiv-120	222	28	loss	loss	NOUN
ispiv-120	222	29	.	.	PUNCT
ispiv-120	223	1	arxiv	arxiv	PROPN
ispiv-120	223	2	preprint	preprint	NOUN
ispiv-120	223	3	arxiv:171107837	arxiv:171107837	NOUN
ispiv-120	223	4	paszke	paszke	VERB
ispiv-120	223	5	a	a	DET
ispiv-120	223	6	,	,	PUNCT
ispiv-120	223	7	gross	gross	ADJ
ispiv-120	223	8	s	s	NOUN
ispiv-120	223	9	,	,	PUNCT
ispiv-120	223	10	chintala	chintala	NOUN
ispiv-120	223	11	s	s	PROPN
ispiv-120	223	12	,	,	PUNCT
ispiv-120	223	13	chanan	chanan	NOUN
ispiv-120	223	14	g	g	PROPN
ispiv-120	223	15	,	,	PUNCT
ispiv-120	223	16	yang	yang	PROPN
ispiv-120	223	17	e	e	PROPN
ispiv-120	223	18	,	,	PUNCT
ispiv-120	223	19	devito	devito	PROPN
ispiv-120	223	20	z	z	PROPN
ispiv-120	223	21	,	,	PUNCT
ispiv-120	223	22	lin	lin	PROPN
ispiv-120	223	23	z	z	PROPN
ispiv-120	223	24	,	,	PUNCT
ispiv-120	223	25	desmaison	desmaison	PROPN
ispiv-120	223	26	a	a	NOUN
ispiv-120	223	27	,	,	PUNCT
ispiv-120	223	28	antiga	antiga	PROPN
ispiv-120	223	29	l	l	NOUN
ispiv-120	223	30	,	,	PUNCT
ispiv-120	223	31	and	and	CCONJ
ispiv-120	223	32	lerer	lerer	AUX
ispiv-120	223	33	a	a	DET
ispiv-120	223	34	(	(	PUNCT
ispiv-120	223	35	2017	2017	NUM
ispiv-120	223	36	)	)	PUNCT
ispiv-120	223	37	automatic	automatic	ADJ
ispiv-120	223	38	differentiation	differentiation	NOUN
ispiv-120	223	39	in	in	ADP
ispiv-120	223	40	pytorch	pytorch	PROPN
ispiv-120	223	41	rabault	rabault	PROPN
ispiv-120	223	42	j	j	PROPN
ispiv-120	223	43	,	,	PUNCT
ispiv-120	223	44	kolaas	kolaas	PROPN
ispiv-120	223	45	j	j	PROPN
ispiv-120	223	46	,	,	PUNCT
ispiv-120	223	47	and	and	CCONJ
ispiv-120	223	48	jensen	jensen	PROPN
ispiv-120	223	49	a	a	PRON
ispiv-120	223	50	(	(	PUNCT
ispiv-120	223	51	2017	2017	NUM
ispiv-120	223	52	)	)	PUNCT
ispiv-120	223	53	performing	perform	VERB
ispiv-120	223	54	particle	particle	NOUN
ispiv-120	223	55	image	image	NOUN
ispiv-120	223	56	velocimetry	velocimetry	NOUN
ispiv-120	223	57	using	use	VERB
ispiv-120	223	58	artificial	artificial	ADJ
ispiv-120	223	59	neural	neural	ADJ
ispiv-120	223	60	networks	network	NOUN
ispiv-120	223	61	:	:	PUNCT
ispiv-120	223	62	a	a	DET
ispiv-120	223	63	proof	proof	NOUN
ispiv-120	223	64	-	-	PUNCT
ispiv-120	223	65	of	of	ADP
ispiv-120	223	66	-	-	PUNCT
ispiv-120	223	67	concept	concept	NOUN
ispiv-120	223	68	.	.	PUNCT
ispiv-120	224	1	measurement	measurement	NOUN
ispiv-120	224	2	science	science	NOUN
ispiv-120	224	3	and	and	CCONJ
ispiv-120	224	4	technology	technology	NOUN
ispiv-120	224	5	28:125301	28:125301	NUM
ispiv-120	224	6	raffel	raffel	NOUN
ispiv-120	224	7	m	m	PROPN
ispiv-120	224	8	,	,	PUNCT
ispiv-120	224	9	willert	willert	PROPN
ispiv-120	224	10	ce	ce	PROPN
ispiv-120	224	11	,	,	PUNCT
ispiv-120	224	12	scarano	scarano	PROPN
ispiv-120	224	13	f	f	X
ispiv-120	224	14	,	,	PUNCT
ispiv-120	224	15	kähler	kähler	PROPN
ispiv-120	224	16	cj	cj	PROPN
ispiv-120	224	17	,	,	PUNCT
ispiv-120	224	18	wereley	wereley	PROPN
ispiv-120	224	19	st	st	PROPN
ispiv-120	224	20	,	,	PUNCT
ispiv-120	224	21	and	and	CCONJ
ispiv-120	224	22	kompenhans	kompenhans	PROPN
ispiv-120	224	23	j	j	PROPN
ispiv-120	224	24	(	(	PUNCT
ispiv-120	224	25	2018	2018	NUM
ispiv-120	224	26	)	)	PUNCT
ispiv-120	224	27	particle	particle	NOUN
ispiv-120	224	28	image	image	NOUN
ispiv-120	224	29	velocimetry	velocimetry	NOUN
ispiv-120	224	30	:	:	PUNCT
ispiv-120	224	31	a	a	DET
ispiv-120	224	32	practical	practical	ADJ
ispiv-120	224	33	guide	guide	NOUN
ispiv-120	224	34	.	.	PUNCT
ispiv-120	225	1	springer	springer	NOUN
ispiv-120	225	2	rubbert	rubbert	VERB
ispiv-120	225	3	a	a	PRON
ispiv-120	225	4	,	,	PUNCT
ispiv-120	225	5	albers	albers	PROPN
ispiv-120	225	6	m	m	PROPN
ispiv-120	225	7	,	,	PUNCT
ispiv-120	225	8	and	and	CCONJ
ispiv-120	225	9	schröder	schröder	PROPN
ispiv-120	225	10	w	w	PROPN
ispiv-120	225	11	(	(	PUNCT
ispiv-120	225	12	2019	2019	NUM
ispiv-120	225	13	)	)	PUNCT
ispiv-120	225	14	streamline	streamline	VERB
ispiv-120	225	15	segment	segment	NOUN
ispiv-120	225	16	statistics	statistics	PROPN
ispiv-120	225	17	propagation	propagation	NOUN
ispiv-120	225	18	in	in	ADP
ispiv-120	225	19	inhomogeneous	inhomogeneous	ADJ
ispiv-120	225	20	turbulence	turbulence	NOUN
ispiv-120	225	21	.	.	PUNCT
ispiv-120	226	1	physical	physical	ADJ
ispiv-120	226	2	review	review	NOUN
ispiv-120	226	3	fluids	fluid	VERB
ispiv-120	226	4	4:034605	4:034605	NUM
ispiv-120	226	5	schrijer	schrijer	NOUN
ispiv-120	226	6	f	f	PROPN
ispiv-120	226	7	and	and	CCONJ
ispiv-120	226	8	scarano	scarano	PROPN
ispiv-120	226	9	f	f	PROPN
ispiv-120	226	10	(	(	PUNCT
ispiv-120	226	11	2008	2008	NUM
ispiv-120	226	12	)	)	PUNCT
ispiv-120	226	13	effect	effect	NOUN
ispiv-120	226	14	of	of	ADP
ispiv-120	226	15	predictor	predictor	NOUN
ispiv-120	226	16	–	–	PUNCT
ispiv-120	226	17	corrector	corrector	NOUN
ispiv-120	226	18	filtering	filtering	NOUN
ispiv-120	226	19	on	on	ADP
ispiv-120	226	20	the	the	DET
ispiv-120	226	21	stability	stability	NOUN
ispiv-120	226	22	and	and	CCONJ
ispiv-120	226	23	spatial	spatial	ADJ
ispiv-120	226	24	resolution	resolution	NOUN
ispiv-120	226	25	of	of	ADP
ispiv-120	226	26	iterative	iterative	ADJ
ispiv-120	226	27	piv	piv	NOUN
ispiv-120	226	28	interrogation	interrogation	NOUN
ispiv-120	226	29	.	.	PUNCT
ispiv-120	227	1	experiments	experiment	NOUN
ispiv-120	227	2	in	in	ADP
ispiv-120	227	3	fluids	fluid	NOUN
ispiv-120	227	4	45:927–941	45:927–941	PRON
ispiv-120	227	5	teed	teed	NOUN
ispiv-120	227	6	z	z	PROPN
ispiv-120	227	7	and	and	CCONJ
ispiv-120	227	8	deng	deng	PROPN
ispiv-120	227	9	j	j	PROPN
ispiv-120	227	10	(	(	PUNCT
ispiv-120	227	11	2020	2020	NUM
ispiv-120	227	12	)	)	PUNCT
ispiv-120	227	13	raft	raft	NOUN
ispiv-120	227	14	:	:	PUNCT
ispiv-120	227	15	recurrent	recurrent	VERB
ispiv-120	227	16	all	all	PRON
ispiv-120	227	17	-	-	PUNCT
ispiv-120	227	18	pairs	pair	NOUN
ispiv-120	227	19	field	field	NOUN
ispiv-120	227	20	transforms	transform	VERB
ispiv-120	227	21	for	for	ADP
ispiv-120	227	22	optical	optical	ADJ
ispiv-120	227	23	flow	flow	NOUN
ispiv-120	227	24	.	.	PUNCT
ispiv-120	228	1	in	in	ADP
ispiv-120	228	2	european	european	ADJ
ispiv-120	228	3	conference	conference	NOUN
ispiv-120	228	4	on	on	ADP
ispiv-120	228	5	computer	computer	NOUN
ispiv-120	228	6	vision	vision	NOUN
ispiv-120	228	7	.	.	PUNCT
ispiv-120	229	1	pages	page	NOUN
ispiv-120	229	2	402–419	402–419	NUM
ispiv-120	229	3	.	.	PUNCT
ispiv-120	230	1	springer	springer	PROPN
ispiv-120	230	2	zhang	zhang	PROPN
ispiv-120	230	3	m	m	PROPN
ispiv-120	230	4	and	and	CCONJ
ispiv-120	230	5	piggott	piggott	PROPN
ispiv-120	230	6	md	md	PROPN
ispiv-120	230	7	(	(	PUNCT
ispiv-120	230	8	2020	2020	NUM
ispiv-120	230	9	)	)	PUNCT
ispiv-120	230	10	unsupervised	unsupervised	ADJ
ispiv-120	230	11	learning	learning	NOUN
ispiv-120	230	12	of	of	ADP
ispiv-120	230	13	particle	particle	NOUN
ispiv-120	230	14	image	image	NOUN
ispiv-120	230	15	velocimetry	velocimetry	NOUN
ispiv-120	230	16	.	.	PUNCT
ispiv-120	231	1	arxiv	arxiv	PROPN
ispiv-120	231	2	preprint	preprint	PROPN
ispiv-120	231	3	arxiv:200714487	arxiv:200714487	PROPN
ispiv-120	231	4	https://www.gauss-centre.eu	https://www.gauss-centre.eu	PROPN
ispiv-120	232	1	https://www.hlrs.de	https://www.hlrs.de	PROPN
ispiv-120	232	2	https://www.fz-juelich.de	https://www.fz-juelich.de	PROPN
ispiv-120	232	3	introduction	introduction	NOUN
ispiv-120	232	4	method	method	NOUN
ispiv-120	232	5	results	result	NOUN
ispiv-120	232	6	learning	learn	VERB
ispiv-120	232	7	task	task	NOUN
ispiv-120	233	1	i	i	PRON
ispiv-120	233	2	:	:	PUNCT
ispiv-120	233	3	idealised	idealised	ADJ
ispiv-120	233	4	piv	piv	NOUN
ispiv-120	233	5	database	database	NOUN
ispiv-120	233	6	learning	learning	PROPN
ispiv-120	233	7	task	task	PROPN
ispiv-120	233	8	ii	ii	PROPN
ispiv-120	233	9	:	:	PUNCT
ispiv-120	233	10	realistic	realistic	ADJ
ispiv-120	233	11	synthetic	synthetic	ADJ
ispiv-120	233	12	and	and	CCONJ
ispiv-120	233	13	experimental	experimental	ADJ
ispiv-120	233	14	piv	piv	NOUN
ispiv-120	233	15	images	image	VERB
ispiv-120	233	16	conclusions	conclusion	NOUN