Learning to Remove Rain in Video With Self-Supervision
In heavy rain video, rain streak and rain accumulation are the most common causes of degradation. They occlude background information and can significantly impair the visibility. Most existing methods rely heavily on the synthetic training data, and thus raise the domain gap problem that prevents th...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 3 vom: 02. Feb., Seite 1378-1396
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| 1. Verfasser: |
Yang, Wenhan
(VerfasserIn) |
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| Weitere Verfasser: |
Tan, Robby T,
Wang, Shiqi,
Kot, Alex C,
Liu, Jiaying |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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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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