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Semi-Supervised 2D Human Pose Estimation Driven by Position
  Inconsistency Pseudo Label Correction Module

Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module

8 March 2023
Linzhi Huang
Yulong Li
Hongbo Tian
Yue Yang
Xiangang Li
Weihong Deng
Jieping Ye
ArXivPDFHTML

Papers citing "Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module"

7 / 7 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
58
0
0
03 Apr 2024
Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
Ruicong Liu
Takehiko Ohkawa
Mingfang Zhang
Yoichi Sato
43
8
0
07 Mar 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
46
0
0
18 Feb 2024
Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic
  Data
Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic Data
Miroslav Purkrábek
Jivrí Matas
22
2
0
13 Jul 2023
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning
  Framework for Monocular 3D Object Detection
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection
Lei Yang
Xinyu Zhang
Li-e Wang
Minghan Zhu
Chuan-Fang Zhang
Jun Li
38
30
0
10 Jul 2022
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
241
509
0
15 Jan 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