DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation

Benchmark Model Rank Results
real-time-semantic-segmentation-on-cityscapes-1DSNet#2mIoU: 80.4%Frame (fps): 81.9
semantic-segmentation-on-bdd100k-valDSNet-Base#3mIoU: 64.6
semantic-segmentation-on-bdd100k-valDSNet-head64#6mIoU: 62.6(172.2FPS 4090)
semantic-segmentation-on-camvidDSNet-Base#2Mean IoU: 83.32
semantic-segmentation-on-cityscapes-valDSNet-Base(single-scale)#35mIoU: 82.0
semantic-segmentation-on-cityscapes-valDSNet(single-scale)#46mIoU: 80.4FPS: 81.9