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

Author:

Huang Linzhi1,Li Yulong2,Tian Hongbo1,Yang Yue2,Li Xiangang2,Deng Weihong1,Ye Jieping2

Affiliation:

1. Beijing University of Posts and Telecommunications

2. Beike

Publisher

IEEE

Reference55 articles.

1. Deep Residual Learning for Image Recognition

2. Bootstrap your own latent - a new approach to self-supervised learning;grill;Advances in neural information processing systems,2020

3. The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation

4. Squeeze-and-Excitation Networks

5. mixup: Beyond empirical risk minimization;zhang;ArXiv Preprint,2017

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CoNPL: Consistency training framework with noise-aware pseudo labeling for dense pose estimation;Image and Vision Computing;2024-09

2. Adaptive module and accurate heatmap translator for multi-person human pose estimation;Computers & Graphics;2024-05

3. Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

4. Human pose completion in partial body camera shots;Journal of Experimental & Theoretical Artificial Intelligence;2023-07-28

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