LineDL : Processing Images Line-by-Line With Deep Learning
Although deep learning-based (DL-based) image processing algorithms have achieved superior performance, they are still difficult to apply on mobile devices (e.g., smartphones and cameras) due to the following reasons: 1) the high memory demand and 2) large model size. To adapt DL-based methods to mo...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 22., Seite 3150-3162
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| 1. Verfasser: |
Huang, Yujie
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Wenshu,
Peng, Liyuan,
Liu, Yuhao,
Wang, Mingyu,
Zhang, Xiao-Ping,
Zeng, Xiaoyang |
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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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