We propose a semi-supervised method for 3D hand pose estimation from depth images to overcome the difficulties in acquiring labels for large-scale hand pose ...
A multi-task consistency constraint combining detection-based and regression-based hand pose estimation methods. •. A multi-view consistency to encourage the ...
We present a vision-based gesture interaction technique that is capable of tracking both hands in real-time. By only recovering features calculated from images, ...
To leverage unannotated images to reduce the annotation cost, we propose a semi-supervised method based on Multi-Task and Multi-View Consistency (MTMVC) for ...
L. Yang, S. Chen, A. Yao, SemiHand: Semi-Supervised Hand Pose Estimation With Consistency, in: Proceedings of the IEEE International Conference on Computer ...
MTMVC: Semi-supervised 3D hand pose estimation using multi-task and multi-view consistency ... Task and Multi-View Consistency (MTMVC) for hand pose estimation.
Several semi-supervised approaches for 3D human pose estimation benefit from applying more constraints over the possible space solutions by utilizing multiview ...
MTMVC: Semi-supervised 3D hand pose estimation using multi-task and multi-view consistency. Donghai Xiang, Wei Xu, Yuting Zhang, Bei Peng, Guotai Wang, Kang ...
International Journal of Computer VisionPub Date: 2023-08-07. MTMVC: Semi-supervised 3D hand pose estimation using multi-task and multi-view consistency.
The best performing methods for 3D human pose esti- mation from monocular images require large amounts of in-the-wild 2D and controlled 3D pose annotated ...
Missing: MTMVC: | Show results with:MTMVC:
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