CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Occlusion-Aware Siamese Network for Human Pose Estimation
Zhou Lu1,2; Chen Yingying1,2,3; Gao Yunze1,2; Wang Jinqiao1,2,4; Lu Hanqing1,2
2020
Conference NameEuropean Conference on Computer Vision
Conference Date8.23-8.28
Conference Place英国(在线会议)
Abstract

Pose estimation usually suffers from varying degrees of performance degeneration owing to occlusion. To conquer this dilemma, we propose an occlusion-aware siamese network to improve the performance. Specifically, we introduce scheme of feature erasing and reconstruction. Firstly, we utilize attention mechanism to predict the occlusion-aware attention map which is explicitly supervised and clean the feature map which is contaminated by different types of occlusions. Nevertheless, the cleaning procedure not only removes the useless information but also erases some valuable details. To overcome the defects caused by the erasing operation, we perform feature reconstruction to recover the information destroyed by occlusion and details lost in cleaning procedure. To make reconstructed features more precise and informative, we adopt siamese network equipped with OT divergence to guide the features of occluded images towards those of the un-occluded images. Algorithm is validated on MPII, LSP and COCO benchmarks and we achieve promising results.

Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/44607
Collection模式识别国家重点实验室_图像与视频分析
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
3.ObjectEye Inc.
4.NEXWISE Co., Ltd.
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhou Lu,Chen Yingying,Gao Yunze,et al. Occlusion-Aware Siamese Network for Human Pose Estimation[C],2020.
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