Semantic Segmentation on Cross-Domain Average (Cityscapes, BDD100K, Mapillary)
67.46mIoULoCA‡
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| LoCA‡Backbone=ConvNeXt-L, Param.=196.2M, Trainable Param.=5.0M, GFLOPs=152, Pre-trained=DINO2026.07 | 67.46 | — | |
| LoCABackbone=ConvNeXt-L, Param.=196.2M, Trainable Param.=5.0M, GFLOPs=152, Pre-trained=DINO2026.07 | 66.49 | — | |
| SoMABackbone=ConvNeXt-L, Param.=196.2M, Trainable Param.=4.3M, GFLOPs=152, Pre-trained=DINO2026.07 | 66.13 | — | |
| LoRA (Linear)Backbone=ConvNeXt-L, Param.=196.2M, Trainable Param.=4.3M, GFLOPs=152, Pre-trained=DINO2026.07 | 65.29 | — | |
| LoRABackbone=ConvNeXt-L, Param.=196.2M, Trainable Param.=25.9M, GFLOPs=152, Pre-trained=DINO2026.07 | 64.95 | — | |
| FSFBackbone=ConvNeXt-L, Param.=196.2M, Trainable Param.=0.8M, GFLOPs=152, Pre-trained=DINO2026.07 | 64.02 | — | |
| FFTBackbone=ConvNeXt-L, Param.=196.2M, Trainable Param.=196.2M, GFLOPs=152, Pre-trained=DINO2026.07 | 63.87 | — | |
| SoMABackbone=ViT-B, Param.=86.5M, Trainable Param.=2.3M, GFLOPs=216, Pre-trained=DINO2026.07 | 63.84 | — | |
| LoCABackbone=ConvNeXt-B, Param.=87.56M, Trainable Param.=3.4M, GFLOPs=81, Pre-trained=DINO2026.07 | 63.76 | — | |
| CoLoRABackbone=ConvNeXt-L, Param.=196.2M, Trainable Param.=3.6M, GFLOPs=152, Pre-trained=DINO2026.07 | 63.59 | — | |
| LoCA‡Backbone=ConvNeXt-B, Param.=87.56M, Trainable Param.=3.4M, GFLOPs=81, Pre-trained=DINO2026.07 | 63.32 | — | |
| CABackbone=ConvNeXt-L, Param.=196.2M, Trainable Param.=4.5M, GFLOPs=152, Pre-trained=DINO2026.07 | 62.96 | — | |
| SoMABackbone=ConvNeXt-B, Param.=87.56M, Trainable Param.=2.9M, GFLOPs=81, Pre-trained=DINO2026.07 | 62.77 | — | |
| LoRA (Linear)Backbone=ConvNeXt-B, Param.=87.56M, Trainable Param.=2.9M, GFLOPs=81, Pre-trained=DINO2026.07 | 62.43 | — | |
| LoRABackbone=ConvNeXt-B, Param.=87.56M, Trainable Param.=17.2M, GFLOPs=81, Pre-trained=DINO2026.07 | 62.3 | — | |
| FFTBackbone=ConvNeXt-B, Param.=87.56M, Trainable Param.=87.56M, GFLOPs=81, Pre-trained=DINO2026.07 | 61.4 | — | |
| CoLoRABackbone=ConvNeXt-B, Param.=87.56M, Trainable Param.=2.2M, GFLOPs=81, Pre-trained=DINO2026.07 | 60.53 | — | |
| FSFBackbone=ConvNeXt-B, Param.=87.56M, Trainable Param.=0.6M, GFLOPs=81, Pre-trained=DINO2026.07 | 60.27 | — | |
| CABackbone=ConvNeXt-B, Param.=87.56M, Trainable Param.=2.3M, GFLOPs=81, Pre-trained=DINO2026.07 | 59.96 | — | |
| FFTBackbone=ViT-B, Param.=86.5M, Trainable Param.=86.5M, GFLOPs=216, Pre-trained=DINO2026.07 | 58.65 | — | |
| LoCABackbone=MambaVision-L3, Param.=737.5M, Trainable Param.=9.0M, GFLOPs=1,556, Pre-trained=ImageNet21k2026.07 | 57.31 | — | |
| FFTBackbone=MambaVision-L3, Param.=737.5M, Trainable Param.=737.5M, GFLOPs=1,556, Pre-trained=ImageNet21k2026.07 | 51.61 | — | |
| LoCABackbone=ResNet101, Param.=42.3M, Trainable Param.=2.8M, GFLOPs=42, Pre-trained=ImageNet21k2026.07 | 46.72 | — | |
| SoMA†Backbone=ResNet101, Param.=42.3M, Trainable Param.=2.5M, GFLOPs=42, Pre-trained=ImageNet21k2026.07 | 45.5 | — | |
| FFTBackbone=ResNet101, Param.=42.3M, Trainable Param.=42.3M, GFLOPs=42, Pre-trained=ImageNet21k2026.07 | 44.79 | — | |
| LoCABackbone=MambaVision-B, Param.=96.7M, Trainable Param.=2.5M, GFLOPs=211, Pre-trained=ImageNet21k2026.07 | 44.2 | — | |
| PinMemBackbone=ResNet-50, Source Datasets=GTAV + Synthia, Implementation Source=Re-evaluated2024.10 | 38.74 | 47.43 | |
| LFMEBackbone=ResNet-50, Source Datasets=GTAV + Synthia, Implementation Source=Re-evaluated2024.10 | 38.37 | 49.62 | |
| RobustNetBackbone=ResNet-50, Source Datasets=GTAV + Synthia, Implementation Source=Cited from [19]2024.10 | 36.76 | — | |
| IBN-NetBackbone=ResNet-50, Source Datasets=GTAV + Synthia, Implementation Source=Cited from [19]2024.10 | 35.27 | — | |
| FFTBackbone=MambaVision-B, Param.=96.7M, Trainable Param.=96.7M, GFLOPs=211, Pre-trained=ImageNet21k2026.07 | 32.52 | — | |
| BaselineBackbone=ResNet-50, Source Datasets=GTAV + Synthia, Implementation Source=Re-evaluated2024.10 | 32.38 | 45.56 | |
| SDBackbone=ResNet-50, Source Datasets=GTAV + Synthia, Implementation Source=Re-evaluated2024.10 | 31.39 | 45.05 | |
| BaselineBackbone=ResNet-50, Source Datasets=GTAV + Synthia, Implementation Source=Cited from [19]2024.10 | 30.83 | — |