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Status: Unchecked ×Keyword: kernel clustering ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

   Li, Lin, Zhang et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2019

   Unchecked2 claims
   Show 2 claims

   1. Unchecked“KSE is capable of simultaneously compressing each layer in an efficient way, which is significantly faster compared to previous data-driven feature map pruning methods.”
   2. Unchecked“In particular, it achieves 4.7 \times FLOPs reduction and 2.9 \times compression on ResNet-50 with only a Top-5 accuracy drop of 0.35% on ImageNet 2012, which significantly outperforms state-of-the-art methods.”