Efficient Self-Ensemble for Semantic Segmentation

Benchmark Model Rank Results
semantic-segmentation-on-coco-stuff-testSenFormer (Swin-L)#5mIoU: 50.1%
semantic-segmentation-on-pascal-contextSenFormer (Swin-L)#7mIoU: 64.0
semantic-segmentation-on-pascal-contextSenFormer (ResNet-101)#18mIoU: 56.6
semantic-segmentation-on-ade20k-valSenFormer (BEiT-L)#20mIoU: 57.1
semantic-segmentation-on-ade20k-valSenFormer (Swin-L)#34mIoU: 54.2
semantic-segmentation-on-ade20kSenFormer (BEiT-L)#35Validation mIoU: 57.1
semantic-segmentation-on-ade20kSenFormer (Swin-L)#67Validation mIoU: 54.2