Semantic Segmentation on ISPRS Vaihingen (test)
91.94F1 ScoreBiCoR-Seg
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| BiCoR-Seg2025.12 | 91.94 | 85.38 | 92.1 | 97.36 | 96.11 | 85.78 | 91.08 | 89.4 | — | |
| AFENetVenue=TGRS 20252025.12 | 91.54 | 84.55 | 91.67 | 96.9 | 95.72 | 85.07 | 90.64 | 89.37 | — | |
| LSRFormerVenue=TGRS 20242025.12 | 91.5 | 84.56 | 91.9 | 93.84 | 96.4 | 85.82 | 90.7 | 90.79 | — | |
| MoBaNet (DINOv2)Backbone=ViT-L2026.03 | 91.39 | 84.37 | 91.9 | 94.18 | 96.9 | 84.58 | 92.03 | 88.32 | — | |
| MoBaNet (SAM)Backbone=ViT-L2026.03 | 91.29 | 84.17 | 91.8 | 94.25 | 96.35 | 84.64 | 92.07 | 89.14 | — | |
| SFA-NetVenue=RS 20242025.12 | 91.2 | 84.06 | — | 93.5 | 96.3 | 85.4 | 90.2 | 90.7 | — | |
| MoBaNet (DINOv2)Backbone=ViT-B2026.03 | 91.16 | 83.97 | 91.78 | 93.4 | 96.78 | 85.54 | 90.55 | 89.52 | — | |
| MoBaNet (SAM)Backbone=ViT-B2026.03 | 90.97 | 83.66 | 91.65 | 93.21 | 96.51 | 85.72 | 91.58 | 90.06 | — | |
| ARG-Mamba2026.05 | 90.96 | 83.72 | 93.28 | 93.82 | 90.49 | 74.37 | 81.99 | 77.94 | — | |
| DC-SwinBackbone=Swin-B2026.03 | 90.56 | 83.13 | 91.33 | 96.68 | 95.85 | 84.38 | 89.59 | 86.31 | — | |
| ABCNetBackbone=ResNet182026.03 | 90.51 | 83.04 | 91.14 | 96.67 | 95.44 | 83.67 | 89.61 | 87.19 | — | |
| MANetBackbone=ViT-B2026.03 | 90.33 | 82.6 | 91.35 | 92.79 | 96.14 | 84.15 | 90.57 | 86.78 | — | |
| PSPNetBackbone=ResNet1012026.03 | 90.26 | 82.58 | 90.85 | 92.79 | 95.46 | 84.51 | 89.94 | 88.61 | — | |
| UNetFormerBackbone=ResNet182026.03 | 90.14 | 82.44 | 90.76 | 96.57 | 95.2 | 83.43 | 89.35 | 86.15 | — | |
| MFNet2026.05 | 90.1 | 82.42 | 92.94 | 93.26 | 92.11 | 72.11 | 80.89 | 73.73 | — | |
| FTransUNetBackbone=R50-ViT-B2026.03 | 90.07 | 82.18 | 91.05 | 92.89 | 96.02 | 84.7 | 89.8 | 86.94 | — | |
| CMGFNetBackbone=ResNet342026.03 | 89.67 | 81.6 | 90.98 | 92.81 | 96.2 | 84.08 | 90.26 | 85.02 | — | |
| CMNeXt2026.05 | 89.61 | 81.61 | 92.72 | 93.16 | 90.23 | 72.27 | 80.62 | 71.75 | — | |
| CMFNetBackbone=VGG162026.03 | 89.48 | 81.44 | 91.4 | 92.36 | 97.17 | 80.37 | 90.82 | 85.47 | — | |
| TreeUNetVenue=ISPRS 20192025.12 | 89.3 | 80.92 | 90.4 | 92.5 | 94.9 | 83.6 | 89.6 | 85.9 | — | |
| vFuseNetBackbone=VGG162026.03 | 89.22 | — | 90 | 91 | 94.4 | 84.5 | 89.9 | 86.3 | — | |
| FTransUNet2026.05 | 88.73 | 80.42 | 92.69 | 93.27 | 92.45 | 70.75 | 79.78 | 65.87 | — | |
| PSTNet2026.05 | 88.5 | 79.99 | 92.23 | 92.51 | 90.62 | 70.83 | 80.01 | 65.99 | — | |
| TMFNetBackbone=ResNet342026.03 | 88.25 | 78.7 | 89.71 | 91.25 | 95.7 | 80.87 | 88.82 | 84.6 | — | |
| SegViTVenue=NeurIPS 20222025.12 | 88.2 | 79.35 | 90.5 | 91.97 | 95.26 | 82.24 | 90.84 | 80.68 | — | |
| FuseNetBackbone=VGG162026.03 | 87.71 | 78.71 | 90.51 | 91.66 | 96.28 | 78.98 | 90.28 | 81.37 | — | |
| MAResU-NetBackbone=ResNet182026.03 | 87.68 | 80.75 | 90.05 | 91.97 | 95.04 | 83.74 | 89.35 | 78.28 | — | |
| GMNet2026.05 | 87.42 | 78.63 | 92.32 | 92.15 | 91.52 | 70.57 | 80.73 | 58.16 | — | |
| CTFNetVenue=GRSL 20232025.12 | 87.34 | 77.84 | 88.6 | 90.69 | 94.35 | 81.66 | 87.27 | 82.72 | — | |
| FEANet2026.05 | 86.64 | 77.5 | 91.97 | 92.45 | 90.27 | 69.91 | 79.11 | 55.75 | — | |
| DANetVenue=CVPR 20192025.12 | 84.27 | 74.52 | 89.52 | 91.13 | 94.82 | 83.47 | 88.92 | 62.98 | — | |
| LOGCAN++Backbone=ResNet-50, FLOPs(G)=51.26, Params(M)=31.05, Input Size=512 x 512 x 32024.06 | 84.22 | 74.72 | 81.59 | 85.87 | 91.85 | 71.44 | 80.35 | 80.14 | 38.63 | |
| OCRNetBackbone=HRNet-32, FLOPs(G)=95.44, Params(M)=32.94, Input Size=512 x 512 x 32024.06 | 83.21 | 73.38 | 80.82 | 85.61 | 91.37 | 69.84 | 79.37 | 77.77 | 36.31 | |
| FarSegBackbone=ResNet-50, FLOPs(G)=48.22, Params(M)=31.39, Input Size=512 x 512 x 32024.06 | 83.2 | 73.67 | 80.45 | 85.96 | 91.55 | 71.95 | 80.63 | 78.24 | 33.69 | |
| RSSFormerBackbone=RSS-B, FLOPs(G)=87.84, Params(M)=32.14, Input Size=512 x 512 x 32024.06 | 83.12 | 73.36 | 81 | 86.28 | 91.25 | 72.49 | 80.94 | 74 | 35.21 | |
| DDPBackbone=Swin-T, FLOPs(G)=249.97, Params(M)=39.56, Input Size=512 x 512 x 32024.06 | 83.07 | 73.49 | 80.54 | 85.73 | 91.42 | 71.63 | 80.32 | 78.32 | 33.52 | |
| PSPNetBackbone=ResNet-50, FLOPs(G)=178.45, Params(M)=48.97, Input Size=512 x 512 x 32024.06 | 82.99 | 73.53 | 80.23 | 86.36 | 91.69 | 72.65 | 80.87 | 77.26 | 32.32 | |
| DeepLabV3+Backbone=ResNet-50, FLOPs(G)=176.25, Params(M)=43.58, Input Size=512 x 512 x 32024.06 | 82.86 | 72.95 | 80.27 | 85.39 | 91.55 | 70.52 | 79.49 | 75.55 | 35.22 | |
| Semantic FPNBackbone=ResNet-50, FLOPs(G)=45.32, Params(M)=28.50, Input Size=512 x 512 x 32024.06 | 82.78 | 73.07 | 79.98 | 85.66 | 91.19 | 71.84 | 80.08 | 76.6 | 33.05 | |
| UnetFormerBackbone=ResNet-50, FLOPs(G)=57.2, Params(M)=32.0, Input Size=512 x 512 x 32024.06 | 82.7 | 72.67 | 80 | 85.46 | 91.16 | 70.26 | 79.46 | 74.27 | 35.44 | |
| SegNetBackbone=-2026.03 | 82.27 | 70.55 | 81.55 | 86.72 | 91.31 | 78.82 | 84.87 | 69.66 | — | |
| U-NetBackbone=-2026.03 | 82.12 | 70.17 | 80.73 | 86.63 | 90.56 | 76.84 | 83.75 | 72.8 | — | |
| DANetBackbone=ResNet-50, FLOPs(G)=199.07, Params(M)=49.82, Input Size=512 x 512 x 32024.06 | 81.55 | 71.5 | 78.93 | 84.8 | 90.26 | 69.79 | 79.3 | 74.32 | 30.49 | |
| DC-SwinBackbone=Swin-B, FLOPs(G)=124.32, Params(M)=118.93, Input Size=512 x 512 x 32024.06 | 76.65 | 66.15 | 73.69 | 83.39 | 87.76 | 69.34 | 78.89 | 59.07 | 18.42 | |
| EfficientViTBackbone=EfficientViT-L2, FLOPs(G)=44.59, Params(M)=51.32, Input Size=512 x 512 x 32024.06 | 76.44 | 66.46 | 74.25 | 83.87 | 88.39 | 70.49 | 79.69 | 61.28 | 15.06 | |
| U-NetVenue=MICCAI 20152025.12 | 73.73 | 60.92 | 82.02 | 84.33 | 86.48 | 73.13 | 83.89 | 40.82 | — | |
| SegmenterBackbone=Swin-B, FLOPs(G)=69.62, Params(M)=102.39, Input Size=512 x 512 x 32024.06 | 70.07 | 58.49 | 67.12 | 78.69 | 82.17 | 65.03 | 75.85 | 34.18 | 15.03 |