Memory Uncertainty Learning for Real-World Single Image Deraining
Single image deraining has witnessed dramatic improvements by training deep neural networks on large-scale synthetic data. However, due to the discrepancy between authentic and synthetic rain images, it is challenging to directly extend existing methods to real-world scenes. To address this issue, w...
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 3 vom: 27. März, Seite 3446-3460 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
| Schlagworte: | Journal Article |
| Online verfügbar |
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