Place Categorization on Multi-modal Panoramic 3D Outdoor (MPO) (test)
94.59Coast AccuracyAdaptive Fusion
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Adaptive FusionInput=D + R2026.03 | 94.59 | 98.2 | 99.77 | 94.85 | 99.19 | 99.37 | 97.62 | |
| Softmax AverageInput=D + R2026.03 | 94.27 | 98.38 | 99.58 | 94.91 | 99.12 | 99.56 | 97.87 | |
| Late FusionInput=D + R2026.03 | 93.49 | 97.57 | 99.25 | 94.23 | 98.39 | 98.88 | 97.19 | |
| Early FusionInput=D + R2026.03 | 93.37 | 98.09 | 99.44 | 94.71 | 98.21 | 97.15 | 97.02 | |
| VGGInput=D2026.03 | 92.73 | 97.26 | 99.94 | 94.23 | 98.35 | 99.2 | 97.18 | |
| VGG + RWMP + HCCInput=R2026.03 | 91.83 | 98.2 | 91.45 | 95.16 | 97.99 | 98.27 | 95.92 | |
| VGG + RWMP + HCCInput Modality=Reflectance, Augmentation=RWMP + HCC2026.03 | 91.83 | 98.2 | 91.45 | 95.16 | 97.99 | 98.27 | 95.92 | |
| VGG + RWMPInput Modality=Reflectance, Augmentation=RWMP2026.03 | 91.13 | 97.63 | 93.29 | 94.67 | 97.93 | 97.37 | 95.74 | |
| VGG + HCCInput Modality=Reflectance, Augmentation=HCC2026.03 | 91 | 98.38 | 94.39 | 94.13 | 97.58 | 95.01 | 95.45 | |
| VGGInput Modality=Reflectance, Backbone=VGG2026.03 | 90.58 | 97.99 | 92.37 | 93.89 | 96.4 | 95.06 | 94.75 | |
| ResNetInput Modality=Reflectance, Backbone=ResNet [33]2026.03 | 90.3 | 96.62 | 94.6 | 93.63 | 96.13 | 96.09 | 94.83 | |
| LBP + RBF-SVMInput Modality=Reflectance, Classifier=RBF-SVM2026.03 | 76.66 | 95.67 | 80.18 | 92.74 | 88.44 | 79.53 | 86.19 | |
| GIST + RBF-SVMInput Modality=Reflectance, Classifier=RBF-SVM2026.03 | 68.85 | 91.65 | 74.07 | 81.73 | 79.88 | 75.03 | 79.15 |