RepVGG: Making VGG-style ConvNets Great Again

RepVGG: Making VGG-style ConvNets Great Again

11 January 2021

Jungong Han

Papers citing "RepVGG: Making VGG-style ConvNets Great Again"

7 / 7 papers shown

Title
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization Shengchun Xiong Xiangru Li Yunpeng Zhong Wanfen Peng 34 0 0 08 May 2025
Efficient Vision-based Vehicle Speed Estimation Andrej Macko Lukás Gajdosech Viktor Kocur 14 0 0 02 May 2025
PreCM: The Padding-based Rotation Equivariant Convolution Mode for Semantic Segmentation Xinyu Xu Huazhen Liu Huilin Xiong W. Yu Tao Zhang 44 0 0 03 Nov 2024
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 197 1,275 0 04 Dec 2018
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 207 330 0 14 Jun 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 252 6,278 0 16 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 257 5,046 0 05 Nov 2016