Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization
Landmark/pose estimation in single monocular images has received much effort in computer vision due to its important applications. It remains a challenging task when input images come with severe occlusions caused by, e.g., adverse camera views. Under such circumstances, biologically implausible pos...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 7 vom: 05. Juli, Seite 1654-1669
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| 1. Verfasser: |
Chen, Yu
(VerfasserIn) |
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| Weitere Verfasser: |
Shen, Chunhua,
Chen, Hao,
Wei, Xiu-Shen,
Liu, Lingqiao,
Yang, Jian |
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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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