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Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose
  Estimation with Consistency Training

Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training

27 March 2023
Mohammad Rezaei
Farnaz Farahanipad
Alex Dillhoff
V. Athitsos
    3DH
ArXivPDFHTML

Papers citing "Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training"

3 / 3 papers shown
Title
HandS3C: 3D Hand Mesh Reconstruction with State Space Spatial Channel
  Attention from RGB images
HandS3C: 3D Hand Mesh Reconstruction with State Space Spatial Channel Attention from RGB images
Zixun Jiao
Xihan Wang
Zhaoqiang Xia
Lianhe Shao
Quanli Gao
3DH
31
0
0
02 May 2024
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
231
862
0
15 Oct 2021
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
1