| real-time-semantic-segmentation-on-camvid | PIDNet-M (Cityscapes-Pretrained) | #1 | mIoU: 82.0Frame (fps): 85.6(3090)Time (ms): 11.7 |
| real-time-semantic-segmentation-on-camvid | PIDNet-S (Cityscapes-Pretrained) | #6 | mIoU: 80.1Frame (fps): 153.7(3090)Time (ms): 6.5 |
| real-time-semantic-segmentation-on-cityscapes | PIDNet-L | #1 | mIoU: 80.6%Frame (fps): 31.1(3090)Time (ms): 32.2 |
| real-time-semantic-segmentation-on-cityscapes | PIDNet-M | #3 | mIoU: 79.8%Frame (fps): 42.2(3090)Time (ms): 23.7 |
| real-time-semantic-segmentation-on-cityscapes | PIDNet-S | #4 | mIoU: 78.6%Frame (fps): 93.2(3090)Time (ms): 10.7 |
| real-time-semantic-segmentation-on-cityscapes-1 | PIDNet-L | #1 | mIoU: 80.9%Frame (fps): 31.1(3090)Time (ms): 32.2 |
| real-time-semantic-segmentation-on-cityscapes-1 | PIDNet-M | #3 | mIoU: 79.9%Frame (fps): 42.2(3090)Time (ms): 23.7 |
| real-time-semantic-segmentation-on-cityscapes-1 | PIDNet-S | #7 | mIoU: 78.8%Frame (fps): 93.2(3090)Time (ms): 10.7 |
| semantic-segmentation-on-camvid | PIDNet-Wider | #4 | Mean IoU: 82.0% |