Review of Deep Learning Applied to Occluded Object Detection

Review of Deep Learning Applied to Occluded Object Detection

Occluded object detection has long been a difficulty and hot topic in the field of computer vision. Based on convolutional neural network, the deep learning takes the object detection task as a classification and regression task to handle, and obtains remarkable achievements. The mask confuses the f...

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Bibliographic Details
Main Author: SUN Fangwei, LI Chengyang, XIE Yongqiang, LI Zhongbo, YANG Caidong, QI Jin
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2022-06-01
Series:Jisuanji kexue yu tansuo
Subjects:
|occluded object detection|deep learning|loss function|non-maximum suppression|semantic partial
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2112035.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2112035.pdf

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