ResMLP : Feedforward Networks for Image Classification With Data-Efficient Training
We present ResMLP, an architecture built entirely upon multi-layer perceptrons for image classification. It is a simple residual network that alternates (i) a linear layer in which image patches interact, independently and identically across channels, and (ii) a two-layer feed-forward network in whi...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 4 vom: 12. Apr., Seite 5314-5321
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| Auteur principal: |
Touvron, Hugo
(Auteur) |
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| Autres auteurs: |
Bojanowski, Piotr,
Caron, Mathilde,
Cord, Matthieu,
El-Nouby, Alaaeldin,
Grave, Edouard,
Izacard, Gautier,
Joulin, Armand,
Synnaeve, Gabriel,
Verbeek, Jakob,
Jegou, Herve |
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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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