Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

Benchmark Model Rank Results
all-day-semantic-segmentation-on-all-dayDDR-Net#2mIoU: 68.6
real-time-semantic-segmentation-on-camvidDDRNet-23(Cityscapes-Pretrained)#4mIoU: 80.6Frame (fps): 94(2080Ti)Time (ms): 10.6
real-time-semantic-segmentation-on-camvidDDRNet-23-slim#13mIoU: 74.7Frame (fps): 230(2080Ti)Time (ms): 4.3
real-time-semantic-segmentation-on-cityscapesDDRNet-23-slim#7mIoU: 77.4%Frame (fps): 101.6(2080Ti)Time (ms): 9.8
real-time-semantic-segmentation-on-cityscapes-1DDRNet23#5mIoU: 79.4Frame (fps): 37.1
real-time-semantic-segmentation-on-cityscapes-1DDRNet23-slim#10mIoU: 77.4Frame (fps): 101.6
semantic-segmentation-on-camvidDDRNet23#6Mean IoU: 80.6%
semantic-segmentation-on-cityscapesDDRNet-39 1.5x#25Mean IoU (class): 82.4%