RepVGG: Making VGG-style ConvNets Great Again
We present a simple but powerful architecture of convolutional neural network, which has a VGG-like inference-time body composed of nothing but a stack of 3 × 3 convolution and ...
Publications
View AllScaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs
We revisit large kernel design in modern convolutional neural networks (CNNs). Inspired by recent advances in vision transformers (ViTs), in this paper, we demonstrate that usin...
Institution Info
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- company
- Country
- US
- Publications
- 2
- Citations
- 3,276
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- ROR
- https://ror.org/016mnbp44