Semantic Segmentation on NYU Depth V2
68.1mIoUInternImage-H
Evaluation Results
| Method | Links | |
|---|---|---|
| InternImage-HBackbone=InternImage-H2022.11 | 68.1 | |
| OraclesBackbone=SED [71]2025.03 | 60.6 | |
| SigmaBackbone=VMamba-S, Params=69.8, Input Size=480 x 6402024.04 | 57 | |
| CMNeXtBackbone=MiT-B4, Params=119.6, Input Size=480 x 6402024.04 | 56.9 | |
| CMX-B5Backbone=CMX-B52022.11 | 56.9 | |
| MultiMAEBackbone=ViT-B, Params=95.2, Input Size=640 x 6402024.04 | 56 | |
| MultiMAEBackbone=ViT-B, Params=95.2M2026.05 | 56 | |
| SMMCLBackbone=SegNeXt-B, Input Size=480 x 6402024.04 | 55.8 | |
| DFormerBackbone=DFormer-Base, Params=29.5M2026.05 | 55.6 | |
| T-PrompterBackbone=T-Prompter-L, Params=401†, Input Size=480 x 6402024.04 | 55.3 | |
| AsymFormerBackbone=MiT-B0+ConvNeXt-Tiny, Params=33.0M2026.05 | 55.3 | |
| RelFlexformer (w/ DFormer)Backbone=DFormer-Base, Params=29.5M2026.05 | 55.3 | |
| CMXBackbone=MiT-B2, Params=66.6M2026.05 | 54.4 | |
| Performer (w/ DFormer)Backbone=DFormer-Base, Params=29.5M2026.05 | 54.4 | |
| TokenFusionBackbone=MiT-B3, Params=45.9, Input Size=480 x 6402024.04 | 54.2 | |
| TokenFusionBackbone=MiT-B3, Params=45.9M2026.05 | 54.2 | |
| OmnivoreBackbone=Swin-B, Params=95.7, Input Size=480 x 6402024.04 | 54 | |
| OmnivoreBackbone=Swin-Base, Params=95.7M2026.05 | 54 | |
| SigmaBackbone=VMamba-T, Params=48.3, Input Size=480 x 6402024.04 | 53.9 | |
| PGDENetBackbone=ResNet-34, Params=100.7, Input Size=480 x 6402024.04 | 53.7 | |
| PGDENetBackbone=ResNet-34, Params=100.7M2026.05 | 53.7 | |
| FRNetBackbone=ResNet-34, Params=85.5, Input Size=480 x 6402024.04 | 53.6 | |
| InvPTBackbone=ViT-L, Params=423†, Input Size=480 x 6402024.04 | 53.6 | |
| FRNetBackbone=ResNet-34, Params=85.5M2026.05 | 53.6 | |
| DFormerBackbone=DFormer-Small, Params=18.7M2026.05 | 53.6 | |
| PDCNetBackbone=ResNet-101, Input Size=480 x 4802024.04 | 53.5 | |
| TokenFusionBackbone=MiT-B2, Params=26.0, Input Size=480 x 6402024.04 | 53.3 | |
| TokenFusionBackbone=MiT-B2, Params=26.0M2026.05 | 53.3 | |
| OmnivoreBackbone=Swin-Small, Params=51.3M2026.05 | 52.7 | |
| CENBackbone=ResNet-152, Params=133.9, Input Size=480 x 6402024.04 | 52.5 | |
| CENBackbone=ResNet-152, Params=133.9M2026.05 | 52.5 | |
| SA-GateBackbone=ResNet-101, Params=110.9, Input Size=480 x 6402024.04 | 52.4 | |
| SA-GateBackbone=ResNet-101, Params=110.9M2026.05 | 52.4 | |
| CL-DMDFModel Category=Graph-Based, MAdds=43.42026.06 | 52.3 | |
| SemLABackbone=SED [71]2025.03 | 51.82 | |
| DFormerBackbone=DFormer-Tiny, Params=6.0M2026.05 | 51.8 | |
| CENBackbone=ResNet-101, Params=118.2, Input Size=480 x 6402024.04 | 51.7 | |
| CENBackbone=ResNet-101, Params=118.2M2026.05 | 51.7 | |
| ShapeConvBackbone=ResNext-101, Params=86.8, Input Size=480 x 6402024.04 | 51.3 | |
| ShapeConvBackbone=ResNet-101, Params=86.8M2026.05 | 51.3 | |
| SGNetBackbone=ResNet-101, Params=64.7, Input Size=480 x 6402024.04 | 51.1 | |
| SGNetBackbone=ResNet-101, Params=64.7M2026.05 | 51.1 | |
| CENModel Category=Encoder-Decoder, MAdds=618.32026.06 | 51.1 | |
| EMSANetBackbone=ResNet-34, Params=46.9, Input Size=480 x 6402024.04 | 51 | |
| EMSANetBackbone=ResNet-34, Params=46.9M2026.05 | 51 | |
| ESANetModel Category=Attention-Based, MAdds=56.92026.06 | 50.6 | |
| MLTCModel Category=Graph-Based, MAdds=147.62026.06 | 50.4 | |
| ESANetBackbone=ResNet-34, Params=31.2, Input Size=480 x 6402024.04 | 50.3 | |
| ESANetBackbone=ResNet-34, Params=31.2M2026.05 | 50.3 | |
| OmnivoreBackbone=Swin-Tiny, Params=29.1M2026.05 | 49.7 | |
| UniformBackbone=SED [71]2025.03 | 48.42 | |
| ACNetBackbone=ResNet-50, Params=116.6, Input Size=480 x 6402024.04 | 48.3 | |
| ACNetBackbone=ResNet-50, Params=116.6M2026.05 | 48.3 | |
| ACNetModel Category=Encoder-Decoder, MAdds=126.22026.06 | 48.3 | |
| Zero-shotBackbone=SED [71]2025.03 | 47.2 | |
| LW-RefineNetModel Category=Attention-Based, MAdds=38.52026.06 | 43.6 |