MA-GANet : A Multi-Attention Generative Adversarial Network for Defocus Blur Detection
Background clutters pose challenges to defocus blur detection. Existing approaches often produce artifact predictions in background areas with clutter and relatively low confident predictions in boundary areas. In this work, we tackle the above issues from two perspectives. Firstly, inspired by the...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 09., Seite 3494-3508
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| 1. Verfasser: |
Jiang, Zeyu
(VerfasserIn) |
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| Weitere Verfasser: |
Xu, Xun,
Zhang, Le,
Zhang, Chao,
Foo, Chuan Sheng,
Zhu, Ce |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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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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