CSformer : Bridging Convolution and Transformer for Compressive Sensing
Convolutional Neural Networks (CNNs) dominate image processing but suffer from local inductive bias, which is addressed by the transformer framework with its inherent ability to capture global context through self-attention mechanisms. However, how to inherit and integrate their advantages to improv...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 15., Seite 2827-2842
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| 1. Verfasser: |
Ye, Dongjie
(VerfasserIn) |
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| Weitere Verfasser: |
Ni, Zhangkai,
Wang, Hanli,
Zhang, Jian,
Wang, Shiqi,
Kwong, Sam |
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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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