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Deep Kinematics Analysis for Monocular 3D Human Pose Estimation
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
For monocular 3D pose estimation conditioned on 2D detection, noisy/unreliable input is a key obstacle in this task. Simple structure constraints attempting to tackle this problem, e.g., symmetry loss and joint angle limit, could only provide marginal improvements and are commonly treated as auxiliary losses in previous researches. It still remains challenging to fully utilize human prior knowledge in this task. In this paper, we propose to address above issue in a systematic view. Firstly, we
doi:10.1109/cvpr42600.2020.00098
dblp:conf/cvpr/XuYNYY020
fatcat:kfqkv7wdnzblninha2pbe2lana