Weakly-supervised 3D hand pose estimation from monocular RGB images
Compared with depth-based 3D hand pose estimation, it is more challenging to infer 3D hand pose from monocular RGB images, due to substantial depth ambiguity and the difficulty of obtaining fully-annotated training data. Different from existing learning-based monocular RGB-input approaches that requ...
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Main Authors: | , , , |
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格式: | Conference or Workshop Item |
語言: | English |
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2020
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在線閱讀: | https://hdl.handle.net/10356/140530 |
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