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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 4 vom: 01. Apr., Seite 4826-4842
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| 1. Verfasser: |
Luo, Xiaotong
(VerfasserIn) |
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| Weitere Verfasser: |
Qu, Yanyun,
Xie, Yuan,
Zhang, Yulun,
Li, Cuihua,
Fu, Yun |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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