Semantic Segmentation on Automotive NIR Real-world Exterior (val)
73.48mIoUReal Baseline
Evaluation results
| Method | Links | |
|---|---|---|
| Real BaselineArchitecture=M2Former2026.06 | 73.48 | |
| Real BaselineArchitecture=DeepLabV3+2026.06 | 66.99 | |
| Real BaselineArchitecture=SegFormer2026.06 | 62.55 | |
| VSD(1,1.0)Architecture=M2Former2026.06 | 61.91 | |
| Synthetic BaselineArchitecture=M2Former2026.06 | 58.95 | |
| VSD(8,0.75) + TSAArchitecture=M2Former2026.06 | 58.81 | |
| VSD(4,0.75) + TSAArchitecture=M2Former2026.06 | 57.57 | |
| VSD(8,0.25) + TSAArchitecture=M2Former2026.06 | 57.16 | |
| VSD(16,0.25) + TSAArchitecture=M2Former2026.06 | 56.29 | |
| VSD(4,0.25) + TSAArchitecture=M2Former2026.06 | 55.43 | |
| VSD(16,0.75) + TSAArchitecture=M2Former2026.06 | 55.35 | |
| TSA OnlyArchitecture=M2Former2026.06 | 55.26 | |
| VSD(8,0.25) + TSAArchitecture=DeepLabV3+2026.06 | 50.44 | |
| VSD(4,0.75) + TSAArchitecture=DeepLabV3+2026.06 | 49 | |
| VSD(8,0.75) + TSAArchitecture=DeepLabV3+2026.06 | 48.64 | |
| VSD(4,0.25) + TSAArchitecture=DeepLabV3+2026.06 | 48.54 | |
| VSD(16,0.25) + TSAArchitecture=DeepLabV3+2026.06 | 48.31 | |
| VSD(16,0.75) + TSAArchitecture=DeepLabV3+2026.06 | 46.36 | |
| TSA OnlyArchitecture=DeepLabV3+2026.06 | 44.95 | |
| VSD(16,0.75) + TSAArchitecture=SegFormer2026.06 | 43.69 | |
| VSD(4,0.75) + TSAArchitecture=SegFormer2026.06 | 42.53 | |
| VSD(16,0.25) + TSAArchitecture=SegFormer2026.06 | 42.44 | |
| VSD(8,0.25) + TSAArchitecture=SegFormer2026.06 | 42.02 | |
| TSA OnlyArchitecture=SegFormer2026.06 | 41.84 | |
| VSD(1,1.0)Architecture=DeepLabV3+2026.06 | 41.59 | |
| VSD(8,0.75) + TSAArchitecture=SegFormer2026.06 | 41.04 | |
| VSD(1,1.0)Architecture=SegFormer2026.06 | 40.53 | |
| VSD(4,0.25) + TSAArchitecture=SegFormer2026.06 | 40.44 | |
| Synthetic BaselineArchitecture=SegFormer2026.06 | 28.14 | |
| Synthetic BaselineArchitecture=DeepLabV3+2026.06 | 21.57 |