RepVGG: Making VGG-style ConvNets Great Again

Benchmark Model Rank Results
image-classification-on-imagenetRepVGG-B2#763Top 1 Accuracy: 78.78%Number of params: 80.31MGFLOPs: 18.4
image-classification-on-imagenetRepVGG-B2g4#781Top 1 Accuracy: 78.5%Number of params: 55.77MGFLOPs: 11.3
semantic-segmentation-on-cityscapes-valRepVGG-B2#45mIoU: 80.57%