OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos-Reference-Cited by-同舟云学术

OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos

Published:2022-10-09 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Jin Kyung-Min¹,Lee Gun-Hee²,Lee Seong-Whan¹

Affiliation:

1. Korea University,Dept. Artificial Intelligence,Seoul,South Korea

2. Korea University,Dept. Computer Engineering,Seoul,South Korea

Publisher

IEEE

Link

Reference32 articles.

1. Rethinking attention with performers;choromanski;arXiv preprint arXiv 2009 14406,2020

3. Multi-domain pose network for multi-person pose estimation and tracking;guo;Proc Eur Conf Comput Vis (ECCV) Workshops,2018

5. Pattern recognition with support vector machines: First international workshop;lee;SVM 2002,2002

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3. Surpass Teacher: Enlightenment Structured Knowledge Distillation of Transformer;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

4. Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01