Prior-guided Source-free Domain Adaptation for Human Pose Estimation-Reference-Cited by-同舟云学术

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Prior-guided Source-free Domain Adaptation for Human Pose Estimation

Published:2023-10-01 Issue: Volume:86 Page:14950-14960
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Raychaudhuri Dripta S.¹,Ta Calvin-Khang¹,Dutta Arindam¹,Lal Rohit¹,Roy-Chowdhury Amit K.¹

Affiliation:

1. University of California,Riverside

Funder

Office of the Director of National Intelligence

Intelligence Advanced Research Projects Activity

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377540.pdf?arnumber=10377540

Reference50 articles.

1. Deep High-Resolution Representation Learning for Human Pose Estimation

2. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

3. ARHPE: Asymmetric Relation-Aware Representation Learning for Head Pose Estimation in Industrial Human–Computer Interaction

4. End-to-End Model-Based Gait Recognition

5. Regressive Domain Adaptation for Unsupervised Keypoint Detection

Cited by 3 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. A Comprehensive Survey on Source-Free Domain Adaptation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-08

2. Source-free unsupervised domain adaptation: A survey;Neural Networks;2024-06

3. POISE: Pose Guided Human Silhouette Extraction under Occlusions;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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