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An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human
  Pose Estimation

An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation

25 November 2020
Rongchang Xie
Chunyu Wang
Wenjun Zeng
Yizhou Wang
    SSL
    3DH
ArXivPDFHTML

Papers citing "An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation"

4 / 4 papers shown
Title
Semi-Supervised Unconstrained Head Pose Estimation in the Wild
Semi-Supervised Unconstrained Head Pose Estimation in the Wild
Huayi Zhou
Fei Jiang
Hongtao Lu
Yong Rui
Hongtao Lu
Kui Jia
50
0
0
03 Apr 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Huayi Zhou
Mukun Luo
Fei Jiang
Yue Ding
Hongtao Lu
Kui Jia
44
0
0
18 Feb 2024
Human Pose as Compositional Tokens
Human Pose as Compositional Tokens
Zigang Geng
Chunyu Wang
Yixuan Wei
Ze Liu
Houqiang Li
Han Hu
25
47
0
21 Mar 2023
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