PA-Tran: Learning to Estimate 3D Hand Pose with Partial Annotation

This paper tackles a novel and challenging problem—3D hand pose estimation (HPE) from a single RGB image using partial annotation. Most HPE methods ignore the fact that the keypoints could be partially visible (e.g., under occlusions). In contrast, we propose a deep-learning framework, PA-Tran, that...

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書誌詳細

出版年:	Sensors
主要な著者:	Tianze Yu, Luke Bidulka, Martin J. McKeown, Z. Jane Wang
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-01-01
主題:	3D hand pose estimation single RGB image partial annotation transformer synthetic dataset PD (Parkinson’s disease) hand dataset
オンライン･アクセス:	https://www.mdpi.com/1424-8220/23/3/1555