FABNet : Frequency-Aware Binarized Network for Single Image Super-Resolution
Remarkable achievements have been obtained with binary neural networks (BNN) in real-time and energy-efficient single-image super-resolution (SISR) methods. However, existing approaches often adopt the Sign function to quantize image features while ignoring the influence of image spatial frequency....
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 17., Seite 6234-6247
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| 1. Verfasser: |
Jiang, Xinrui
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Nannan,
Xin, Jingwei,
Li, Keyu,
Yang, Xi,
Li, Jie,
Wang, Xiaoyu,
Gao, Xinbo |
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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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