Feature Boosting Network For 3D Pose Estimation
In this paper, a feature boosting network is proposed for estimating 3D hand pose and 3D body pose from a single RGB image. In this method, the features learned by the convolutional layers are boosted with a new long short-term dependence-aware (LSTD) module, which enables the intermediate convoluti...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 2 vom: 24. Feb., Seite 494-501
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| 1. Verfasser: |
Liu, Jun
(VerfasserIn) |
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| Weitere Verfasser: |
Ding, Henghui,
Shahroudy, Amir,
Duan, Ling-Yu,
Jiang, Xudong,
Wang, Gang,
Kot, Alex C |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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