Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation

Benchmark Model Rank Results
semantic-segmentation-on-cityscapes-valTrans4PASS (Small)#42mIoU: 81.1%
semantic-segmentation-on-cityscapes-valTrans4PASS (Tiny)#54mIoU: 79.1%
semantic-segmentation-on-densepassTrans4PASS (multi-scale)#3mIoU: 56.38%
semantic-segmentation-on-densepassTrans4PASS (single-scale)#4mIoU: 55.25%
semantic-segmentation-on-stanford2d3d-1Trans4PASS (Supervised + Small + MS)#8mIoU: 53.0%
semantic-segmentation-on-stanford2d3d-1Trans4PASS (Supervised + Small)#11mIoU: 52.1%
semantic-segmentation-on-stanford2d3d-1Trans4PASS (UDA + MPA + MS)#13mIoU: 51.2%
semantic-segmentation-on-stanford2d3d-1Trans4PASS (UDA + MPA)#14mIoU: 50.8%
semantic-segmentation-on-stanford2d3d-1Trans4PASS (UDA + Source Only)#16mIoU: 48.1%
semantic-segmentation-on-synpassTrans4PASS#2mIoU: 38.57%