An improved YOLO algorithm with multisensing for pedestrian detection
Lixiong Gong,
Yuanyuan Wang,
Xiao Huang
et al.
Abstract:Although pedestrian detection techniques are improving, this task is still challenging due to the problems of target occlusion, small targets, and complex pedestrian backgrounds in images of different scenes. As a result, the You Only Look Once (YOLO) algorithm exhibits lower detection accuracy. In this paper, the use of multiple dilated convolutions to sample feature images is proposed avoid the information loss incurred repeated sampling, to improve the feature extraction and target detection performance of … Show more
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