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...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 2 vom: 01. Feb., Seite 2430-2444
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| Auteur principal: |
Wan, Weitao
(Auteur) |
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| Autres auteurs: |
Yu, Cheng,
Chen, Jiansheng,
Wu, Tong,
Zhong, Yuanyi,
Yang, Ming-Hsuan |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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