Filter Pruning by High-Order Spectral Clustering
Large amount of redundancy is widely present in convolutional neural networks (CNNs). Identifying the redundancy in the network and removing the redundant filters is an effective way to compress the CNN model size with a minimal reduction in performance. However, most of the existing redundancy-base...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 4 vom: 28. Apr., Seite 2402-2415
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| 1. Verfasser: |
Lin, Hang
(VerfasserIn) |
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| Weitere Verfasser: |
Peng, Yifan,
Zhang, Yubo,
Bie, Lin,
Zhao, Xibin,
Gao, Yue |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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