SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation

Benchmark Model Rank Results
real-time-semantic-segmentation-on-cityscapes-valSegNext-T-Seg100#4mIoU: 79.8%Frame (fps): 28.1
semantic-segmentation-on-ddd17SegNeXt-B#4mIoU: 71.46
semantic-segmentation-on-dsecSegNeXt-B#5mIoU: 71.55
semantic-segmentation-on-isaidSegNeXt-L#1mIoU: 70.3
semantic-segmentation-on-isaidSegNeXt-B#2mIoU: 69.9
semantic-segmentation-on-isaidSegNeXt-S#4mIoU: 68.8
semantic-segmentation-on-isaidSegNeXt-T#6mIoU: 68.3