Semantic Segmentation on Cityscapes to ACDC (test)
72.9mIoUHeuSCM
Evaluation results
| Method | Links | |||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HeuSCMBackbone=HRDA2026.03 | 72.9 | 93.6 | 74.6 | 90.5 | 59.9 | 42.7 | 57.3 | 71.1 | 70.3 | 88.7 | 96.4 | 70.9 | 52.3 | 88.7 | 74.9 | 86.3 | 87 | 57.3 | 61 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 62.4 | |
| ACSegFormerBackbone=HRDA2026.03 | 72.7 | 94.3 | 75.3 | 90.2 | 57.9 | 42.1 | 55.7 | 71.4 | 71.6 | 87.8 | 96 | 69.8 | 51.2 | 88.7 | 75.5 | 85.8 | 89.5 | 53.8 | 62.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 61.5 | |
| CoDABackbone=HRDA2026.03 | 72.6 | 93.1 | 72.7 | 90.7 | 57.3 | 47.4 | 56.8 | 69.9 | 70 | 87.3 | 95.4 | 71.4 | 47.6 | 90.3 | 77.1 | 83.8 | 89.1 | 54.7 | 64.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 59.8 | |
| RefignBackbone=HRDA2026.03 | 72.1 | 93.8 | 75.7 | 90 | 57.9 | 43.3 | 55.6 | 67.4 | 68.2 | 88.2 | 96.1 | 67.5 | 50.8 | 88.8 | 75.2 | 83.4 | 89.6 | 54.5 | 61.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 61.8 | |
| CompUDABackbone=HRDA2026.03 | 71.1 | 92.7 | 71.5 | 89.5 | 61.6 | 39.8 | 51 | 72 | 67.2 | 82.8 | 92.9 | 67 | 46.4 | 89.3 | 75.3 | 81.2 | 88.7 | 56.3 | 62.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 58.7 | |
| MICbase_architecture=HRDA2022.12 | 70.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CISSBackbone=HRDA2026.03 | 69.6 | 92 | 69.6 | 89.2 | 57.3 | 40.5 | 55.8 | 67.1 | 67.3 | 75.3 | 86.4 | 70 | 47.5 | 88.9 | 73.1 | 77.5 | 87 | 55.6 | 61.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 59.7 | |
| HRDA2022.12 | 68 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HRDABackbone=MiT2023.04 | 68 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HRDABackbone=HRDA2026.03 | 68 | 88.3 | 57.9 | 88.1 | 55.2 | 36.7 | 56.3 | 62.9 | 65.3 | 74.2 | 85.9 | 68.8 | 45.7 | 88.5 | 76.4 | 82.4 | 87.7 | 52.7 | 60.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 57.7 | |
| VBLCBackbone=HRDA2026.03 | 67.2 | 90.2 | 63.9 | 87.8 | 44.1 | 42.3 | 54.1 | 67 | 65.5 | 74.4 | 85.9 | 66.4 | 43.8 | 87.5 | 72 | 83.9 | 84.2 | 48.5 | 57.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 58.9 | |
| HeuSCMBackbone=DAFormer2026.03 | 65.7 | 90.2 | 64.4 | 87.3 | 43.5 | 34.9 | 51.9 | 63.6 | 61.6 | 86.9 | 95.8 | 62.1 | 39.2 | 84.3 | 65.4 | 71.3 | 85.4 | 48.3 | 52.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 59.1 | |
| RefignBackbone=DAFormer2026.03 | 65.5 | 89.5 | 63.4 | 87.3 | 43.6 | 34.3 | 52.3 | 63.2 | 61.4 | 86.9 | 95.7 | 62.1 | 39.3 | 84.1 | 65.7 | 71.3 | 85.4 | 47.9 | 52.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 58.5 | |
| SSASource-Free=true2026.03 | 65.2 | 84.1 | 54.7 | 84.6 | 51.7 | 43.7 | 61.5 | 72.5 | 59.5 | 72.2 | 79.1 | 63.8 | 44.6 | 88 | 84.4 | 76.6 | 78.3 | 48.2 | 53.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 38.5 | |
| IDMSource-Free=true2026.03 | 64.8 | 88.8 | 63.2 | 85.8 | 45.5 | 30.3 | 42.1 | 69.7 | 62.7 | 87.4 | 96.5 | 61.8 | 29.3 | 86.5 | 80.5 | 68.9 | 70.1 | 57 | 52.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 51.7 | |
| CoTTASource-Free=true2026.03 | 64.4 | 85.7 | 50.9 | 85.9 | 45.9 | 33.6 | 54.8 | 62.3 | 69.9 | 87.1 | 97.7 | 63.3 | 59.4 | 85.1 | 52.8 | 68 | 74.1 | 44.9 | 55.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 45.7 | |
| VDPSource-Free=true2026.03 | 64.3 | 85.7 | 50.9 | 85.9 | 45.9 | 33.6 | 54.8 | 62.2 | 69.9 | 87 | 97.6 | 63.3 | 59.2 | 85.1 | 52.8 | 68.1 | 74.1 | 44.8 | 54.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 45.7 | |
| VBLCBackbone=DAFormer2026.03 | 64.2 | 89.2 | 59.8 | 85.9 | 44 | 37.2 | 53.5 | 64.5 | 63.2 | 72.4 | 84.1 | 65.5 | 37.7 | 85.1 | 60.1 | 71.8 | 85.2 | 47.7 | 56.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 56.3 | |
| DePTSource-Free=true2026.03 | 63.9 | 85 | 50.6 | 85.5 | 45.7 | 33.2 | 53.9 | 61.6 | 69.4 | 86.7 | 97.4 | 62.6 | 59.2 | 85.1 | 52.5 | 68 | 73.7 | 44.3 | 54.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 45.5 | |
| CoPTBackbone=DAFormer2026.03 | 63.7 | 49.1 | 70.3 | 83.6 | 59.4 | 42.4 | 58.5 | 48.3 | 67.2 | 73.5 | 45 | 69.3 | 45.2 | 83.4 | 76.3 | 74.5 | 88.2 | 54.4 | 61.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 60.7 | |
| CoTICAICWL=true, ICAT=true, Backbone=Segformer-B52025.12 | 62.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 74.4 | 43.5 | 66.5 | 65.2 | 75.3 | 44.2 | 67.4 | 65.5 | 75.4 | 44.4 | 67.3 | 65.3 | 6.2 | — | |
| CoTICAICWL=false, ICAT=true, Backbone=Segformer-B52025.12 | 62.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 73.9 | 43.8 | 66.3 | 64.5 | 74.9 | 43.8 | 67 | 64.9 | 75.1 | 43.2 | 67.1 | 64.8 | 5.7 | — | |
| MoASEBackbone=Segformer-B52025.12 | 62.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 72.4 | 44.5 | 66.4 | 63.8 | 73 | 45.1 | 67.5 | 63.5 | 73.5 | 44.5 | 67.4 | 63.5 | 5.5 | — | |
| TENTSource-Free=true2026.03 | 62.2 | 85.3 | 50.2 | 85.4 | 45.4 | 32.7 | 50.4 | 59.4 | 66.1 | 86.4 | 97.5 | 57.9 | 53.8 | 84.7 | 51 | 66.9 | 72.4 | 40.2 | 50.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 45.7 | |
| ViDABackbone=Segformer-B52025.12 | 61.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71.6 | 43.2 | 66 | 63.4 | 73.2 | 44.5 | 67 | 63.9 | 73.2 | 44.6 | 67.2 | 64.2 | 5.2 | — | |
| DASBackbone=Segformer-B52026.05 | 61.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ADMABackbone=Segformer-B52025.12 | 61.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71.9 | 44.6 | 67.4 | 63.2 | 71.7 | 44.9 | 66.5 | 63.1 | 72.3 | 45.4 | 67.1 | 63.1 | 5.1 | — | |
| Instance-WarpBackbone=DAFormer2026.03 | 61.7 | 83 | 53.2 | 85.5 | 47.4 | 38.3 | 46 | 51.4 | 57.8 | 73.9 | 82.1 | 61.3 | 32.3 | 85.5 | 69 | 68.9 | 82.5 | 46.7 | 52 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 56.2 | |
| DASBackbone=Segformer-B5, Pre-trained Dataset=Cityscapes, Input Resolution=960x540, Batch Size=1, Optimizer=Adam, Learning Rate=1e-42026.05 | 61.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71.6 | 43.7 | 66.6 | 64.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SVDPBackbone=Segformer-B52025.12 | 61.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 72.1 | 44 | 65.2 | 63 | 72.2 | 44.5 | 65.9 | 63.5 | 72.1 | 44.2 | 65.6 | 63.6 | 4.6 | — | |
| CoTICAICWL=true, ICAT=false, Backbone=Segformer-B52025.12 | 61.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 72.8 | 43.6 | 63.9 | 63 | 73.9 | 44.3 | 64.4 | 63.4 | 74 | 44.9 | 64.7 | 63.3 | 4.6 | — | |
| SVDPBackbone=Segformer-B52026.05 | 61.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SVDPBackbone=Segformer-B5, Pre-trained Dataset=Cityscapes, Input Resolution=960x540, Batch Size=1, Optimizer=Adam, Learning Rate=1e-42026.05 | 61.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 72.1 | 44 | 65.2 | 63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OBAOBackbone=Segformer-B52025.12 | 61 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71.2 | 42.3 | 64.9 | 62 | 72.6 | 43.2 | 66.3 | 63.2 | 72.8 | 43.8 | 66.5 | 63.2 | 4.3 | — | |
| OBAOBackbone=Segformer-B52026.05 | 61 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BN-statArchitecture=DeepLabV3+2025.03 | 60.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 57.5 | 73.1 | 55.2 | 57.8 | 301 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DATBackbone=Segformer-B52025.12 | 60.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71.7 | 44.4 | 65.4 | 62.9 | 71.6 | 45.2 | 63.7 | 63.3 | 70.6 | 44.2 | 63 | 62.8 | 4.1 | — | |
| OBAOBackbone=Segformer-B5, Pre-trained Dataset=Cityscapes, Input Resolution=960x540, Batch Size=1, Optimizer=Adam, Learning Rate=1e-42026.05 | 60.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71.2 | 42.3 | 65 | 62 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Full TuningArchitecture=DeepLabV3+, Time Stamp=102025.03 | 59.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 57.6 | 77 | 55.7 | 59.6 | 9,974 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TENTArchitecture=DeepLabV3+, Time Stamp=102025.03 | 58.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 53.8 | 71.3 | 51.2 | 54.2 | 4,646 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HeuSCMBackbone=DeepLabv22026.03 | 58.7 | 91.4 | 66.6 | 84.3 | 40.6 | 32.3 | 38 | 57.9 | 54.8 | 82.8 | 94.2 | 53.8 | 33 | 80.1 | 50.8 | 52.4 | 72.2 | 29.3 | 50.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 50.4 | |
| CoTTABackbone=Segformer-B52025.12 | 58.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 70.9 | 41.2 | 62.4 | 59.7 | 70.9 | 41.1 | 62.6 | 59.7 | 70.9 | 41 | 62.7 | 59.7 | 1.9 | — | |
| CoTTABackbone=Segformer-B5, Pre-trained Dataset=Cityscapes, Input Resolution=960x540, Batch Size=1, Optimizer=Adam, Learning Rate=1e-42026.05 | 58.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 70.9 | 41.2 | 62.4 | 59.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CoTTABackbone=Segformer-B52026.05 | 58.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VDPBackbone=Segformer-B5, Pre-trained Dataset=Cityscapes, Input Resolution=960x540, Batch Size=1, Optimizer=Adam, Learning Rate=1e-42026.05 | 58.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 70.5 | 41.1 | 62.1 | 59.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MECTAArchitecture=DeepLabV3+, Time Stamp=102025.03 | 58.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 53.1 | 74 | 50.1 | 53.4 | 1,354 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VDPBackbone=Segformer-B52025.12 | 58.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 70.5 | 41.1 | 62.1 | 59.5 | 70.4 | 41.1 | 62.2 | 59.4 | 70.4 | 41 | 62.2 | 59.4 | 1.5 | — | |
| VDPBackbone=Segformer-B52026.05 | 58.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SARBackbone=Segformer-B52026.05 | 57 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SourceBackbone=Segformer-B52025.12 | 56.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 69.1 | 40.3 | 59.7 | 57.8 | 69.1 | 40.3 | 59.7 | 57.8 | 69.1 | 40.3 | 59.7 | 57.8 | 0 | — | |
| SourceBackbone=Segformer-B5, Pre-trained Dataset=Cityscapes, Input Resolution=960x540, Batch Size=1, Optimizer=Adam, Learning Rate=1e-42026.05 | 56.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 69.1 | 40.3 | 59.7 | 57.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TENTBackbone=Segformer-B5, Pre-trained Dataset=Cityscapes, Input Resolution=960x540, Batch Size=1, Optimizer=Adam, Learning Rate=1e-42026.05 | 56.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 69 | 40.2 | 60.1 | 57.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SARBackbone=Segformer-B5, Pre-trained Dataset=Cityscapes, Input Resolution=960x540, Batch Size=1, Optimizer=Adam, Learning Rate=1e-42026.05 | 56.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 69 | 40.2 | 60.1 | 57.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SourceBackbone=Segformer-B52026.05 | 56.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GaussianBackbone=DAFormer2026.03 | 56.4 | 62.8 | 51.6 | 83 | 34.7 | 35 | 52.1 | 30.1 | 56.4 | 73 | 60.9 | 62.7 | 33.8 | 80.2 | 59.5 | 58.5 | 81.8 | 47.5 | 52.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 55.9 | |
| COTTAArchitecture=DeepLabV3+, Time Stamp=102025.03 | 56 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 38.8 | 84.1 | 47.3 | 53.9 | 9,974 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ECoTTABackbone=Segformer-B5, Pre-trained Dataset=Cityscapes, Input Resolution=960x540, Batch Size=1, Optimizer=Adam, Learning Rate=1e-42026.05 | 56 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 68.5 | 35.8 | 62.1 | 57.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ECoTTABackbone=Segformer-B52026.05 | 55.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TENTBackbone=Segformer-B52025.12 | 55.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 69 | 40.2 | 60.1 | 57.3 | 68.3 | 39 | 60.1 | 56.3 | 67.5 | 37.8 | 59.6 | 55 | -1 | — | |
| TENTBackbone=Segformer-B52026.05 | 55.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SourceArchitecture=DeepLabV3+2025.03 | 55.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 38.6 | 82.4 | 47.3 | 53.9 | 301 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAFormer2022.12 | 55.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAFormerBackbone=MiT2023.04 | 55.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAFormerBackbone=DAFormer2026.03 | 55.3 | 56.9 | 45.4 | 84.7 | 44.7 | 35.1 | 48.6 | 44.8 | 57.4 | 69.5 | 45.8 | 57.1 | 28.2 | 82.8 | 57.2 | 63.9 | 84 | 40.2 | 50.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 52.9 | |
| SURGEONArchitecture=DeepLabV3+, Time Stamp=102025.03 | 54.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 46.7 | 72 | 46.6 | 49 | 1,403 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SURGEON (BN)Architecture=DeepLabV3+, Time Stamp=102025.03 | 54.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 45.6 | 71.1 | 47.5 | 49.2 | 1,300 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCMABackbone=ResNet, additional daytime/clear-weather reference images=true2023.04 | 53.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DePTBackbone=Segformer-B52025.12 | 53.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71 | 40.8 | 58.2 | 56.8 | 68.2 | 40 | 55.4 | 53.7 | 66.4 | 38 | 47.3 | 47.2 | -3.3 | — | |
| ATPBackbone=DeepLab-v22026.03 | 50.5 | 76.2 | 47.3 | 71.4 | 42.7 | 31.4 | 44.2 | 55.4 | 62 | 89 | 79.1 | 49.9 | 16.6 | 77.5 | 30 | 19.7 | 47.7 | 44 | 39.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 34.7 | |
| CMABackbone=DeepLab-v22026.03 | 50.4 | 83.1 | 52.7 | 65.4 | 18.7 | 30.5 | 44.5 | 56.3 | 53.9 | 76.7 | 79 | 54.2 | 31.2 | 76.7 | 40.2 | 39.3 | 47.4 | 29.8 | 38.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 39.7 | |
| DANNetuse_aligned_reference_images=true2022.12 | 50 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DANNetBackbone=ResNet, additional daytime/clear-weather reference images=true2023.04 | 50 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MGCDABackbone=ResNet, additional daytime/clear-weather reference images=true2023.04 | 48.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RefignBackbone=DeepLab-v22026.03 | 48 | 49.5 | 56.7 | 79.8 | 31.2 | 25.7 | 34.1 | 48 | 48.7 | 76.2 | 38.5 | 48.3 | 24.7 | 75.8 | 46.5 | 43.9 | 64.3 | 34.1 | 43.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 42.5 | |
| VBLCBackbone=DeepLab-v22026.03 | 47.8 | 49.6 | 39.3 | 79.4 | 35.8 | 29.5 | 42.6 | 57.2 | 57.5 | 69.1 | 39.8 | 54.5 | 29.3 | 77.8 | 43 | 36.2 | 32.7 | 38.7 | 53.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 42.7 | |
| MECTAArchitecture=Segformer-B5, Time Stamp=102025.03 | 47.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 37.3 | 69.4 | 47.1 | 51 | 380 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CISSBackbone=DeepLab-v22026.03 | 47.2 | 70.5 | 36.7 | 67 | 29.4 | 30.2 | 31.6 | 45.6 | 48.9 | 70.4 | 65.5 | 48.2 | 31.1 | 76.6 | 45.7 | 47 | 62.8 | 26.8 | 38.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 24.7 | |
| CompUDABackbone=DeepLab-v22026.03 | 47 | 52.4 | 54.5 | 75.6 | 30.6 | 26.8 | 35.6 | 44.7 | 47.8 | 74.5 | 39.1 | 45.1 | 20.6 | 76.3 | 47.2 | 40.5 | 64.9 | 36.2 | 36.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 40.5 | |
| SourceArchitecture=Segformer-B52025.03 | 43.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 30.9 | 59.7 | 40.3 | 42.2 | 380 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SURGEONArchitecture=Segformer-B5, Time Stamp=102025.03 | 42.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 29.7 | 58.3 | 37.9 | 41 | 380 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MGCDAuse_aligned_reference_images=true2022.12 | 41.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COTTAArchitecture=Segformer-B5, Time Stamp=102025.03 | 41.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 29.2 | 59 | 37.2 | 40.3 | 2,793 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepLab-v2Backbone=DeepLab-v22026.03 | 38 | 71.9 | 26.2 | 51.1 | 18.8 | 22.5 | 19.7 | 33 | 27.7 | 67.9 | 44.2 | 43.1 | 22.1 | 71.2 | 29.8 | 33.3 | 48.4 | 26.2 | 35.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 28.6 | |
| ADVENT2022.12 | 32.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ADVENTBackbone=ResNet2023.04 | 32.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |