Scene Classification on NYU v2 enriched (test)
77.41Balanced AccuracyEMSANet
Evaluation results
| Method | Links | |
|---|---|---|
| EMSANetBackbone=2xR101-Nbt1d, Modality=RGB-D2022.07 | 77.41 | |
| EMSANetBackbone=2xR34-Nbt1d, Modality=RGB-D2022.07 | 76.46 | |
| EMSANetBackbone=2xR34-Nbt1d, Modality=RGB-D, Pre-training=Hypersim2022.07 | 75.25 | |
| EMSANetBackbone=R34-Nbt1d, Modality=RGB2022.07 | 70.88 | |
| EfficientNetBackbone=B0, Modality=RGB, Enriched NYUv2=true, Evaluation Protocol=ten-crop2022.07 | 70.83 | |
| Mod. ResNet34Backbone=R34-Nbt1d, Modality=RGB, Evaluation Protocol=ten-crop2022.07 | 70.25 | |
| MobileNetV2Backbone=alpha=1, Modality=RGB, Enriched NYUv2=true, Evaluation Protocol=ten-crop2022.07 | 69.2 |