Adaptive Residual Networks for High-Quality Image Restoration
Image restoration methods based on convolutional neural networks have shown great success in the literature. However, since most of networks are not deep enough, there is still some room for the performance improvement. On the other hand, though some models are deep and introduce shortcuts for easy...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 27(2018), 7 vom: 31. Juli, Seite 3150-3163
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| 1. Verfasser: |
Zhang, Yongbing
(VerfasserIn) |
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| Weitere Verfasser: |
Sun, Lulu,
Yan, Chenggang,
Ji, Xiangyang,
Dai, Qionghai |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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