id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-14021	Jin, Sheng	Real Time Detection Algorithm for Escape Ladders based on YOLOv5s	2023	4	.pdf	application/pdf	3144	216	54	Optimize the network structure of YOLOv5s algorithm, strengthen shallow feature weights to enhance small target detection effectiveness, add attention mechanisms to increase the weight of small targets and their surrounding features, and use Mosaic methods for data augmentation to improve detection accuracy and recall. Performance Test Results of YOLOv5s Detection Algorithm on Self built Datasets Improved algorithm structure, added small object detection layer CA, improved anchor box, selected anchors that are more suitable for small objects, improved YOLOv5s algorithm, added small object detection layer, easy to analyze charts, optimized and adapted YOLOv5s algorithm, improved accuracy by 1.4% and recall by 1.2% mAP@0.5	cache/fcis-14021.pdf	txt/fcis-14021.txt