Semantic Segmentation on Pascal VOC 10-1 protocol 2012 (val)
82.4mIoU (0-10)Joint
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| JointBackbone=Swin-B2025.03 | 82.4 | 83 | 82.7 | |
| Upper BoundNetwork=Transformer2023.11 | 80.84 | 74.97 | 79.44 | |
| Joint TrainingNetwork=SegFormer B22022.03 | 80.46 | 78.32 | 79.44 | |
| CoinSegBackbone=Swin-B2025.03 | 80.1 | 60 | 70.5 | |
| Joint TrainingNetwork=DeepLab V32022.03 | 78.41 | 76.35 | 77.43 | |
| Upper BoundNetwork=DeepLab-V32023.11 | 78.41 | 76.35 | 77.43 | |
| JointBackbone=ResNet1012025.03 | 78.4 | 76.4 | 77.4 | |
| SATS-MNetwork=SegFormer B2, Memory of limited old data=true2022.03 | 76.21 | 61.62 | 69.27 | |
| EIRBackbone=Swin-B2025.03 | 75.9 | 71.3 | 73.7 | |
| FALCONNetwork=Transformer2023.11 | 74.92 | 52.54 | 64.26 | |
| SSUL-MNetwork=DeepLab V3, Memory of limited old data=true2022.03 | 74.79 | 48.87 | 62.45 | |
| SSULBackbone=Swin-B2025.03 | 74.3 | 51 | 63.2 | |
| SSUL-MNetwork=SegFormer B2, Memory of limited old data=true2022.03 | 74.23 | 52.24 | 63.76 | |
| SSULNetwork=SegFormer B22022.03 | 74.06 | 51.85 | 63.48 | |
| SSULNetwork=Transformer2023.11 | 74.06 | 51.85 | 63.48 | |
| FALCONNetwork=DeepLab-V32023.11 | 73.94 | 49.73 | 62.41 | |
| SSULNetwork=DeepLab V32022.03 | 73.78 | 41.13 | 58.23 | |
| MicroSegBackbone=Swin-B2025.03 | 73.5 | 53 | 63.8 | |
| MicroSeg-MBackbone=ResNet1012025.03 | 73.1 | 52.9 | 63.5 | |
| SSUL-MBackbone=ResNet1012025.03 | 72.4 | 49.8 | 61.6 | |
| EIRBackbone=ResNet1012025.03 | 71.9 | 58.1 | 65.3 | |
| EWFBackbone=ResNet1012025.03 | 71.5 | 30.3 | 51.9 | |
| SSULNetwork=DeepLab-V32023.11 | 71.31 | 45.98 | 59.25 | |
| MiB-MNetwork=SegFormer B2, Memory of limited old data=true2022.03 | 69.73 | 56.28 | 63.33 | |
| TIKPBackbone=ResNet1012025.03 | 69.7 | 43.5 | 57.2 | |
| SATSNetwork=SegFormer B22022.03 | 64.27 | 58.66 | 61.6 | |
| RECALLNetwork=DeepLab V22022.03 | 59.5 | 46.7 | 54.8 | |
| PLOP-MNetwork=SegFormer B2, Memory of limited old data=true2022.03 | 57.94 | 51.64 | 54.94 | |
| FairCLNetwork=Transformer2023.11 | 57.1 | 14.2 | 36.6 | |
| RCILNetwork=DeepLab-V32023.11 | 55.4 | 15.1 | 34.3 | |
| RCILBackbone=ResNet1012025.03 | 55.4 | 15 | 36.2 | |
| MiBNetwork=SegFormer B22022.03 | 48.7 | 39.58 | 44.36 | |
| PLOPNetwork=SegFormer B22022.03 | 48.53 | 33.71 | 41.47 | |
| PLOPNetwork=Transformer2023.11 | 48.53 | 33.71 | 41.47 | |
| PLOPNetwork=DeepLab V32022.03 | 44.03 | 15.51 | 30.45 | |
| PLOPNetwork=DeepLab-V32023.11 | 44 | 15.5 | 30.5 | |
| PLOPBackbone=ResNet1012025.03 | 44 | 15.5 | 30.5 | |
| FairCLNetwork=DeepLab-V32023.11 | 42.3 | 25.6 | 34.4 | |
| MiBNetwork=DeepLab-V32023.11 | 20 | 20.1 | 20.1 | |
| MiBBackbone=ResNet1012025.03 | 12.3 | 13.1 | 12.7 | |
| MiBNetwork=DeepLab V32022.03 | 12.2 | 13.1 | 12.6 | |
| ILTBackbone=ResNet1012025.03 | 7.2 | 3.7 | 5.5 | |
| ILTNetwork=DeepLab V32022.03 | 7.15 | 3.67 | 5.5 | |
| ILT-MNetwork=SegFormer B2, Memory of limited old data=true2022.03 | 6.75 | 6.07 | 6.42 | |
| ILTNetwork=SegFormer B22022.03 | 6.67 | 6.13 | 6.41 | |
| LwF-MCNetwork=DeepLab V32022.03 | 4.65 | 5.9 | 4.95 |