Towards optimal sparse CNNs: sparsity-friendly knowledge distillation through feature decoupling
Despite the efficacy of network sparsity in reducing the complexity of convolutional neural networks (CNNs), the performance of sparse networks often deteriorates significantly compared to their dense counterparts. Knowledge distillation is regarded as a potent strategy for utilizing large models to...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
PeerJ Inc.
2025-11-01
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| シリーズ: | PeerJ Computer Science |
| 主題: | |
| オンライン･アクセス: | https://peerj.com/articles/cs-3388.pdf |
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