Let’s quickly go through the new models related to network compression published at CVPR 2019, ICLR 2019 and ICML 2019. Some works needs to be read and understood more carefully.
CVPR is more kind of tending to solve problems in practical applications, while ICLR and ICML are more close to theoretical explanations.
1. Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Institutes: Xiamen University, Peng Cheng Laboratory (Shenzhen, China), Beihang University, Huawei Noahs Ark Lab, University of Buffalo and BestImage of Tencent Technology (Shanghai)
- Investigate CNN compression from a novel interpretable perspective. Discover that importance of feature maps depend on sparsity and richness (using the proposed Kernel sparsity and Entropy metric);