CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention

Benchmark Model Rank Results
semantic-segmentation-on-ade20k-valCrossFormer (ImageNet1k-pretrain, UPerNet, multi-scale test)#45mIoU: 51.4%Pixel Accuracy: 84.0%
semantic-segmentation-on-ade20kCrossFormer (ImageNet1k-pretrain, UPerNet, multi-scale test)#107Validation mIoU: 51.4