Semantic Segmentation on SemanticRT (5%)
74.36mIoU (Real+Synthetic)UniTriGen
Evaluation results
| Method | Links | ||
|---|---|---|---|
| UniTriGenDownstream Architecture=Sigma, Backbone=Mamba, Augmentation Method=UniTriGen (Ours), Data Size (Pairs)=6842026.05 | 74.36 | 58.11 | |
| SigmaBackbone=Mamba, Augmentation Method=TriCond-Cascade, Data Size (Pairs)=6842026.05 | 73.65 | 53.2 | |
| SigmaBackbone=Mamba, Augmentation Method=Raw Data, Data Size (Pairs)=3422026.05 | 73.46 | — | |
| SigmaBackbone=Mamba, Augmentation Method=JointLabel-Cascade, Data Size (Pairs)=6842026.05 | 73.45 | 47.56 | |
| UniTriGenDownstream Architecture=SemanticRT, Backbone=ResNet152, Augmentation Method=UniTriGen (Ours), Data Size (Pairs)=6842026.05 | 73.12 | 54.16 | |
| SigmaBackbone=Mamba, Augmentation Method=Seq-Cascade, Data Size (Pairs)=6842026.05 | 73.04 | 42.72 | |
| SemanticRTBackbone=ResNet152, Augmentation Method=TriCond-Cascade, Data Size (Pairs)=6842026.05 | 73.02 | 50.76 | |
| SemanticRTBackbone=ResNet152, Augmentation Method=JointLabel-Cascade, Data Size (Pairs)=6842026.05 | 71.78 | 43.22 | |
| SemanticRTBackbone=ResNet152, Augmentation Method=Seq-Cascade, Data Size (Pairs)=6842026.05 | 71.59 | 41.81 | |
| UniTriGenDownstream Architecture=M-SpecGene, Backbone=UperNet, Augmentation Method=UniTriGen (Ours), Data Size (Pairs)=6842026.05 | 71.57 | 58.9 | |
| UniTriGenDownstream Architecture=MilNet, Backbone=Segformer, Augmentation Method=UniTriGen (Ours), Data Size (Pairs)=6842026.05 | 71.45 | 57.3 | |
| M-SpecGeneBackbone=UperNet, Augmentation Method=TriCond-Cascade, Data Size (Pairs)=6842026.05 | 71.17 | 51.79 | |
| MilNetBackbone=Segformer, Augmentation Method=TriCond-Cascade, Data Size (Pairs)=6842026.05 | 71.02 | 55.6 | |
| M-SpecGeneBackbone=UperNet, Augmentation Method=JointLabel-Cascade, Data Size (Pairs)=6842026.05 | 70.99 | 43.63 | |
| M-SpecGeneBackbone=UperNet, Augmentation Method=Seq-Cascade, Data Size (Pairs)=6842026.05 | 70.71 | 43.19 | |
| MilNetBackbone=Segformer, Augmentation Method=JointLabel-Cascade, Data Size (Pairs)=6842026.05 | 70.7 | 48.7 | |
| MilNetBackbone=Segformer, Augmentation Method=Seq-Cascade, Data Size (Pairs)=6842026.05 | 69.92 | 40.9 | |
| MilNetBackbone=Segformer, Augmentation Method=Raw Data, Data Size (Pairs)=3422026.05 | 69.73 | — | |
| M-SpecGeneBackbone=UperNet, Augmentation Method=Raw Data, Data Size (Pairs)=3422026.05 | 69.38 | — | |
| SemanticRTBackbone=ResNet152, Augmentation Method=Raw Data, Data Size (Pairs)=3422026.05 | 66.62 | — |