Lattice Network for Lightweight Image Restoration
Deep learning has made unprecedented progress in image restoration (IR), where residual block (RB) is popularly used and has a significant effect on promising performance. However, the massive stacked RBs bring about burdensome memory and computation cost. To tackle this issue, we aim to design an e...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 4 vom: 17. Apr., Seite 4826-4842
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| Auteur principal: |
Luo, Xiaotong
(Auteur) |
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| Autres auteurs: |
Qu, Yanyun,
Xie, Yuan,
Zhang, Yulun,
Li, Cuihua,
Fu, Yun |
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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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