SemiHand: Semi-supervised Hand Pose Estimation with Consistency
Author:
Affiliation:
1. National University of Singapore,Singapore
Funder
National Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711112.pdf?arnumber=9711112
Reference45 articles.
1. Ro-bust learning through cross-task consistency;zamir;CVPR,2020
2. Safeguarded Dynamic Label Regression for Noisy Supervision
3. Monocular Total Capture: Posing Face, Body, and Hands in the Wild
4. Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
5. Dual grid net: hand mesh vertex regression from single depth maps;wan;ECCV,2020
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3. HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
4. MTMVC: Semi-supervised 3D hand pose estimation using multi-task and multi-view consistency;Journal of Visual Communication and Image Representation;2023-09
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