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toc: true title: RepVGG

tags: [‘temp’]

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RepVGG

• RepVGG: Making Vgg-style ConvNets Great Again
  • stack of $3\times 3$ Conv and Relu during inference time
  • training-time model has a multi-branch topology
  • decoupling of the training-time and inference-time architecture is realized by a structural re-parameterization technique
  • 5 stages and conducts down-Sampling via stride-2 convolution at the beginning of a stage
  • identity and 1 \times 1 branches, but only for training
  • ImageNet
  • higher accuracy and show favorable accuracy-speed trade-off compared to the state-of-the-art models like EfficientNet and RegNet
  •