Fine-grained food classification on CNFOOD-241 (val)
82.15Top-1 AccuracyVMamba-S
Evaluation results
| Method | Links | ||
|---|---|---|---|
| VMamba-SYear=2024, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 82.15 | 96.91 | |
| CMAL-NetYear=2023, Pretrained Weights=Yes (ResNet-50)2024.02 | 80.16 | 95.99 | |
| EfficientNet-B6Year=2019, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 80.1 | 94.64 | |
| Res-VMambaYear=2024, Pretrained Weights=No2024.02 | 79.54 | 95.72 | |
| VMamba-SYear=2024, Pretrained Weights=No2024.02 | 79.17 | 95.64 | |
| ConvNeXT-BYear=2022, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 78.3 | 94.36 | |
| RepViTYear=2023, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 78.08 | 95.41 | |
| SEnet154Year=2017, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 77.47 | 94.86 | |
| Inceptionv4Year=2016, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 77.3 | 94.28 | |
| PRENetYear=2017, Pretrained Weights=Yes (Food2K)2024.02 | 77.28 | 95.16 | |
| DenseNet121Year=2016, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 76.46 | 94.57 | |
| ResNet101Year=2015, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 74.42 | 93.62 | |
| ViT-BYear=2020, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 73.14 | 92.06 | |
| VGG16Year=2014, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 66.98 | 90.1 |