Discrimination-Aware Network Pruning for Deep Model Compression
We study network pruning which aims to remove redundant channels/kernels and hence speed up the inference of deep networks. Existing pruning methods either train from scratch with sparsity constraints or minimize the reconstruction error between the feature maps of the pre-trained models and the com...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 8 vom: 22. Aug., Seite 4035-4051
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| 1. Verfasser: |
Liu, Jing
(VerfasserIn) |
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| Weitere Verfasser: |
Zhuang, Bohan,
Zhuang, Zhuangwei,
Guo, Yong,
Huang, Junzhou,
Zhu, Jinhui,
Tan, Mingkui |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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