HRank: Filter Pruning using High-Rank Feature Map

Published in CVPR, 2020

Recommended citation: Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao. (2020). "HRank: Filter Pruning using High-Rank Feature Map" CVPR. https://arxiv.org/abs/2002.10179

Observed the activation values of all samples at a given layer with almost identical rank through experiments, and thus optimized the model with better performance on public dataset. Found that filter with a large rank contained more information, and utilized this character to prune neural networks, surpassing many other state-of-the-art methods on the performance of the pruned model.

Download paper here

Recommended citation: Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao. (2020). "HRank: Filter Pruning using High-Rank Feature Map" CVPR..