Shaping Deep Feature Space Towards Gaussian Mixture for Visual Classification
The softmax cross-entropy loss function has been widely used to train deep models for various tasks. In this work, we propose a Gaussian mixture (GM) loss function for deep neural networks for visual classification. Unlike the softmax cross-entropy loss, our method explicitly shapes the deep feature...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 2 vom: 12. Feb., Seite 2430-2444
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| 1. Verfasser: |
Wan, Weitao
(VerfasserIn) |
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| Weitere Verfasser: |
Yu, Cheng,
Chen, Jiansheng,
Wu, Tong,
Zhong, Yuanyi,
Yang, Ming-Hsuan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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