Semantic Segmentation on PST900 (50%)
87.29mIoU (Real+Syn)UniTriGen
Evaluation results
| Method | Links | ||
|---|---|---|---|
| UniTriGenDownstream Architecture=MilNet, Backbone=Segformer, Augmentation Method=UniTriGen (Ours), Data Size (Pairs)=5982026.05 | 87.29 | 64.9 | |
| UniTriGenDownstream Architecture=Sigma, Backbone=Mamba, Augmentation Method=UniTriGen (Ours), Data Size (Pairs)=5982026.05 | 87.06 | 53.61 | |
| SigmaBackbone=Mamba, Augmentation Method=TriCond-Cascade, Data Size (Pairs)=5982026.05 | 86.48 | 52.88 | |
| MilNetBackbone=Segformer, Augmentation Method=Raw Data, Data Size (Pairs)=2992026.05 | 86.42 | — | |
| SigmaBackbone=Mamba, Augmentation Method=Seq-Cascade, Data Size (Pairs)=5982026.05 | 85.99 | 51.76 | |
| SigmaBackbone=Mamba, Augmentation Method=Raw Data, Data Size (Pairs)=2992026.05 | 85.86 | — | |
| MilNetBackbone=Segformer, Augmentation Method=TriCond-Cascade, Data Size (Pairs)=5982026.05 | 85.37 | 55.6 | |
| MilNetBackbone=Segformer, Augmentation Method=Seq-Cascade, Data Size (Pairs)=5982026.05 | 85.34 | 54.5 | |
| SigmaBackbone=Mamba, Augmentation Method=JointLabel-Cascade, Data Size (Pairs)=5982026.05 | 85.25 | 46.37 | |
| MilNetBackbone=Segformer, Augmentation Method=JointLabel-Cascade, Data Size (Pairs)=5982026.05 | 84.3 | 47.8 | |
| UniTriGenDownstream Architecture=SemanticRT, Backbone=ResNet152, Augmentation Method=UniTriGen (Ours), Data Size (Pairs)=5982026.05 | 83.96 | 41.39 | |
| SemanticRTBackbone=ResNet152, Augmentation Method=TriCond-Cascade, Data Size (Pairs)=5982026.05 | 81.95 | 40.83 | |
| SemanticRTBackbone=ResNet152, Augmentation Method=Seq-Cascade, Data Size (Pairs)=5982026.05 | 79.76 | 39.87 | |
| UniTriGenDownstream Architecture=M-SpecGene, Backbone=UperNet, Augmentation Method=UniTriGen (Ours), Data Size (Pairs)=5982026.05 | 79.31 | 65.48 | |
| SemanticRTBackbone=ResNet152, Augmentation Method=Raw Data, Data Size (Pairs)=2992026.05 | 78.51 | — | |
| SemanticRTBackbone=ResNet152, Augmentation Method=JointLabel-Cascade, Data Size (Pairs)=5982026.05 | 78.1 | 35.77 | |
| M-SpecGeneBackbone=UperNet, Augmentation Method=TriCond-Cascade, Data Size (Pairs)=5982026.05 | 76.76 | 49.46 | |
| M-SpecGeneBackbone=UperNet, Augmentation Method=JointLabel-Cascade, Data Size (Pairs)=5982026.05 | 76 | 49.17 | |
| M-SpecGeneBackbone=UperNet, Augmentation Method=Seq-Cascade, Data Size (Pairs)=5982026.05 | 75.5 | 49.41 | |
| M-SpecGeneBackbone=UperNet, Augmentation Method=Raw Data, Data Size (Pairs)=2992026.05 | 74.96 | — |