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...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 47(2025), 4 vom: 28. Apr., Seite 2402-2415
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| Auteur principal: |
Lin, Hang
(Auteur) |
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| Autres auteurs: |
Peng, Yifan,
Zhang, Yubo,
Bie, Lin,
Zhao, Xibin,
Gao, Yue |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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