Semantic Segmentation on MFNet (RGB/Thermal Fusion Evaluation)
71.4RGB mAccHKDNet
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| HKDNetBackbone=Swin-S [42]2026.03 | 71.4 | 52.5 | — | — | 74 | 56.5 | — | — | |
| CRMBackbone=Swin-T [42], Parameters (M)=74.922026.03 | 68.9 | 50.98 | 62.61 | 50.22 | 71.83 | 59.1 | 67.78 | 53.43 | |
| AdaptedBackbone=MiT-B4 [33]2026.03 | 67.18 | 55.22 | 66.7 | 50.89 | — | — | — | — | |
| RTFDNet (MiT-B4)Backbone=MiT-B4 [33], Parameters (M)=124.02026.03 | 65.91 | 56.06 | 68.73 | 54.89 | 72.08 | 60.08 | 68.91 | 57.01 | |
| RTFDNet (MiT-B2)Backbone=MiT-B2 [33], Parameters (M)=50.02026.03 | 65.19 | 55.12 | 69.41 | 53.23 | 72.27 | 58.97 | 68.96 | 55.77 | |
| CMNeXtBackbone=MiT-B4 [33], Parameters (M)=116.562026.03 | 60.66 | 53.55 | 38.15 | 35.46 | 68.48 | 59.77 | 55.76 | 49.59 | |
| MDRNetBackbone=ResNet-50 [40], Parameters (M)=64.602026.03 | 57.11 | 45.89 | 41.98 | 30.19 | 74.7 | 56.8 | 57.93 | 44.29 | |
| StitchFusionBackbone=Swin-T [42], Parameters (M)=65.272026.03 | 54.83 | 48.78 | 45.91 | 41.42 | 66.05 | 58.04 | 55.6 | 49.41 | |
| VPFNetBackbone=ResNet-50 [40]2026.03 | 48.14 | 41.08 | 42.2 | 35.8 | 70.91 | 57.61 | 53.75 | 44.83 | |
| RTFNetBackbone=ResNet-152 [40], Parameters (M)=254.512026.03 | 44.89 | 37.3 | 26.41 | 24.57 | 55.7 | 53.2 | 42.33 | 38.36 | |
| EAEFNetBackbone=ResNet-50 [40], Parameters (M)=200.42026.03 | 37.76 | 35.23 | 49.93 | 41.72 | 75.07 | 58.95 | 54.25 | 45.3 | |
| MFNetBackbone=DCNN [38], Parameters (M)=8.42026.03 | 26.62 | 24.78 | 19.65 | 16.64 | 45.1 | 39.7 | 30.46 | 27.04 | |
| FEANetBackbone=ResNet-152 [40], Parameters (M)=337.12026.03 | 15.96 | 8.69 | 58.35 | 48.72 | 73.2 | 55.3 | 49.17 | 37.57 | |
| FuseNetBackbone=VGG-16 [37], Parameters (M)=2842026.03 | 11.11 | 10.31 | 41.33 | 36.85 | 52.4 | 45.6 | 34.95 | 30.92 |