RepVGG
RepVGG
**RepVGG** is a [VGG](https://paperswithcode.com/method/vgg)-style convolutional architecture. It has the following advantages:

- The model has a VGG-like plain (a.k.a. feed-forward) topology 1 without any branches. I.e., every layer takes
the output of its only preceding layer as input and feeds the output into its only following layer.
- The model’s body uses only 3 × 3 conv and [ReLU](https://paperswithcode.com/method/relu).
- The concrete architecture (including the specific depth and layer widths) is instantiated with no automatic
search, manual refinement, compound scaling, nor other heavy designs.
RepVGG: Making VGG-style ConvNets Great Again
https://paperswithcode.com/paper/repvgg-making-vgg-style-convnets-great-again
RepVGG: Making VGG-style ConvNets Great Again