Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure

Xiaohan Ding(George Mason University), Jungong Han(Tsinghua University), Yuchen Guo(Tsinghua University), Guiguang Ding(Tsinghua University)
Unknown
June 1, 2019
10.1109/cvpr.2019.00508
Cited by 203

Related Papers

RepVGG: Making VGG-style ConvNets Great Again
|Unknown|2021|2.5k
YOLOv10: Real-Time End-to-End Object Detection
|arXiv (Cornell University)|2024|1k
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
|Unknown|2019|828
Diverse Branch Block: Building a Convolution as an Inception-like Unit
|Unknown|2021|475
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting
|2021 IEEE/CVF International Conference on Computer Vision (ICCV)|2021|179