Deep Polynomial Neural Networks
Deep convolutional neural networks (DCNNs) are currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning. The success of DCNNs can be attributed to the careful selection of their building blocks (e.g., residual blocks, rectifie...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 8 vom: 11. Aug., Seite 4021-4034
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| Auteur principal: |
Chrysos, Grigorios G
(Auteur) |
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| Autres auteurs: |
Moschoglou, Stylianos,
Bouritsas, Giorgos,
Deng, Jiankang,
Panagakis, Yannis,
Zafeiriou, Stefanos |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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