Semantic Segmentation on Cityscapes 9 (test)
78.7mIoU (Mean IoU)P2AT-M
Evaluation results
| Method | Links | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P2AT-MModel scale=Medium2023.10 | 78.7 | 98.5 | 85.7 | 93 | 58.6 | 58.3 | 67.3 | 74.7 | 77.7 | 93.5 | 72.2 | 95.6 | 85.3 | 69.2 | 95.6 | 68.1 | 83 | 78.3 | 65.9 | 75.1 | |
| P2AT-LModel scale=Large2023.10 | 78 | 98.5 | 85.3 | 92.6 | 53.1 | 57.4 | 66.6 | 74.7 | 78.1 | 93.3 | 69.8 | 95.1 | 86 | 70.5 | 95.8 | 67.8 | 83.3 | 72.2 | 67 | 74.8 | |
| P2AT-SModel scale=Small2023.10 | 77.8 | 98.4 | 84.4 | 92.9 | 54.4 | 56.6 | 67.7 | 75.2 | 78.1 | 93.5 | 71.9 | 95.6 | 85.7 | 69.2 | 95.5 | 62.2 | 81.1 | 76.3 | 64.7 | 74.9 | |
| LBN-AA2023.10 | 73.6 | 98.2 | 84 | 91.6 | 50.7 | 49.5 | 60.9 | 69 | 73.6 | 92.6 | 70.3 | 94.4 | 83 | 65.7 | 94.9 | 62 | 70.9 | 53.3 | 62.5 | 71.8 | |
| BiSeNetV2/BiSeNetV2_L2023.10 | 73.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLabv22023.10 | 70.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AGLNet2023.10 | 70.1 | 97.8 | 80.1 | 91 | 51.3 | 50.6 | 58.3 | 63 | 68.5 | 92.3 | 71.3 | 94.2 | 80.1 | 59.6 | 93.8 | 48.4 | 68.1 | 42.1 | 52.4 | 67.8 | |
| Dilation102023.10 | 67.1 | 97.6 | 79.2 | 89.9 | 37.3 | 47.6 | 53.2 | 58.6 | 65.2 | 91.8 | 69.4 | 93.7 | 78.9 | 55 | 93.3 | 45.5 | 53.4 | 47.7 | 52.2 | 66 | |
| FCN2023.10 | 65.3 | 97.4 | 78.4 | 89.2 | 34.9 | 44.2 | 47.4 | 60.1 | 65 | 91.4 | 69.3 | 93.9 | 77.1 | 51.4 | 92.6 | 35.3 | 48.6 | 46.5 | 51.6 | 66.8 | |
| CRF-RNN2023.10 | 62.5 | 96.3 | 73.9 | 88.2 | 47.6 | 41.3 | 35.2 | 49.5 | 59.7 | 90.6 | 66.1 | 93.5 | 70.4 | 34.7 | 90.1 | 39.2 | 57.5 | 55.4 | 43.9 | 54.6 |