From Global to Local : Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection
Defocus blur detection (DBD), which aims to detect out-of-focus or in-focus pixels from a single image, has been widely applied to many vision tasks. To remove the limitation on the abundant pixel-level manual annotations, unsupervised DBD has attracted much attention in recent years. In this paper,...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2023) vom: 03. Feb.
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| 1. Verfasser: |
Li, Jinxing
(VerfasserIn) |
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| Weitere Verfasser: |
Liang, Beicheng,
Lu, Xiangwei,
Li, Mu,
Lu, Guangming,
Xu, Yong |
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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 image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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