Semantic Segmentation on RTA dataset
92.98mIoUCarboFormer
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| CarboFormer2025.05 | 92.98 | 96.31 | 96.07 | 96.84 | 95.31 | 97 | |
| SegFormer-B0variant=B02025.05 | 92.35 | 96 | 95.97 | 95.95 | 96 | 97.18 | |
| DeepLabv3+2025.05 | 91.68 | 95.03 | 95.6 | 96.2 | 95.03 | 96.96 | |
| SegNeXt2025.05 | 91.16 | 95.45 | 95.31 | 95.17 | 95.45 | 96.71 | |
| Swin-Tvariant=T2025.05 | 91.15 | 95.26 | 95.31 | 95.36 | 95.26 | 96.71 | |
| DDRNet2025.05 | 88.28 | 92.86 | 93.66 | 94.52 | 92.86 | 95.65 | |
| BiseNetV22025.05 | 87.95 | 92.59 | 93.46 | 94.42 | 92.59 | 95.52 | |
| FastSCNN2025.05 | 87.18 | 91.24 | 93 | 95.13 | 91.24 | 95.31 |