no code implementations • 14 Dec 2021 • Pengkun Liu, Yaru Yue, Yanjun Guo, Xingxiang Tao, Xiaoguang Zhou
Filter pruning with our method leads to the state-of-the-art (SOTA) accuracy on CIFAR-10 and achieves competitive performance on ImageNet ILSVRC-2012. SNF based on the ResNet-56 network achieves an increase of 0. 14% in Top-1 accuracy at 52. 94% FLOPs reduction on CIFAR-10.