Residual Transformer YOLO for Detecting Multi-Scale Crowded Pedestrian

Crowding and occlusion pose significant challenges for pedestrian detection, which can easily lead to missed and false detections for small-scale and occluded pedestrian objects in dense pedestrian scenarios. To enhance dense pedestrian detection accuracy, we propose the Residual Transformer YOLO (R...

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Hlavní autoři:	Hechao Ye, Yanni Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-11-01
Edice:	Applied Sciences
Témata:	crowded pedestrian detection residual transformer YOLO multi-scale fusion transformer normalization-based attention module
On-line přístup:	https://www.mdpi.com/2076-3417/13/21/12032
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