Image Classification on MIT Indoor
94.5AccuracyDREAM
Evaluation results
| Method | Links | |
|---|---|---|
| DREAMWay=5, Shot=52026.03 | 94.5 | |
| CLIPWay=5, Shot=52026.03 | 93.7 | |
| iSICEBackbone=Swin-B2023.04 | 87.6 | |
| Precision ΩBackbone=Swin-B2023.04 | 87 | |
| iSQRT-COVBackbone=Swin-B2023.04 | 86.6 | |
| iSICEBackbone=ResNeXt-1012023.04 | 86.3 | |
| iSICEBackbone=Swin-T2023.04 | 85.9 | |
| Precision ΩBackbone=ResNeXt-1012023.04 | 85.7 | |
| iSICEBackbone=ConvNext-T2023.04 | 85.4 | |
| TKPFBackbone=ResNet-502023.04 | 84.1 | |
| DeepCOV-ResNetBackbone=ResNet-502023.04 | 83.4 | |
| Precision ΩBackbone=Swin-T2023.04 | 82.5 | |
| iSQRT-COVBackbone=Swin-T2023.04 | 82.1 | |
| iSQRT-COVBackbone=ResNeXt-1012023.04 | 81.6 | |
| REPAWay=5, Shot=52026.03 | 81.2 | |
| DeepKSPDBackbone=VGG-162023.04 | 81 | |
| iSICEBackbone=ResNet-1012023.04 | 81 | |
| Precision ΩBackbone=ResNet-502023.04 | 80.8 | |
| iSICEBackbone=VGG-192023.04 | 80.6 | |
| RUNBackbone=VGG-162023.04 | 80.5 | |
| TKPFBackbone=VGG-162023.04 | 80.5 | |
| iSICEBackbone=ResNet-502023.04 | 80.5 | |
| FCBNBackbone=VGG-162023.04 | 80.3 | |
| Precision ΩBackbone=VGG-162023.04 | 80.2 | |
| SMSOBackbone=ResNet-502023.04 | 79.7 | |
| Precision ΩBackbone=VGG-192023.04 | 79.6 | |
| SMSOBackbone=VGG-162023.04 | 79.5 | |
| iSQRT-COVBackbone=ResNet-1012023.04 | 79.3 | |
| DeepCOVBackbone=VGG-162023.04 | 79.2 | |
| iSQRT-COVBackbone=ResNet-502023.04 | 78.8 | |
| iSICEBackbone=VGG-162023.04 | 78.7 | |
| Precision ΩBackbone=ConvNext-T2023.04 | 78.5 | |
| Precision ΩBackbone=ResNet-1012023.04 | 77.9 | |
| iSQRT-COVBackbone=ConvNext-T2023.04 | 77.8 | |
| BCNNBackbone=VGG-162023.04 | 77.6 | |
| iSQRT-COVBackbone=VGG-192023.04 | 76.3 | |
| CBPBackbone=VGG-162023.04 | 76.2 | |
| iSQRT-COVBackbone=VGG-162023.04 | 76.1 | |
| FLUIDWay=5, Shot=52026.03 | 62.7 | |
| MARWay=5, Shot=52026.03 | 61.2 |