Single Stage Adaptive Multi-Attention Network for Image Restoration
Recently attention-based networks have been successful for image restoration tasks. However, existing methods are either computationally expensive or have limited receptive fields, adding constraints to the model. They are also less resilient in spatial and contextual aspects and lack pixel-to-pixel...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 01., Seite 2924-2935
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| Auteur principal: |
Zafar, Anas
(Auteur) |
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| Autres auteurs: |
Aftab, Danyal,
Qureshi, Rizwan,
Fan, Xinqi,
Chen, Pingjun,
Wu, Jia,
Ali, Hazrat,
Nawaz, Shah,
Khan, Sheheryar,
Shah, Mubarak |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2024
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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