Fine-grained food classification on CNFOOD-241 (test)
80.58Top-1 AccuracyVMamba-S
Evaluation results
| Method | Links | ||
|---|---|---|---|
| VMamba-SYear=2024, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 80.58 | 96.71 | |
| CMAL-NetYear=2023, Pretrained Weights=Yes (ResNet-50)2024.02 | 78.56 | 95.4 | |
| EfficientNet-B6Year=2019, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 78.48 | 94.22 | |
| Res-VMambaYear=2024, Pretrained Weights=No2024.02 | 78.26 | 95.31 | |
| VMamba-SYear=2024, Pretrained Weights=No2024.02 | 77.73 | 95.24 | |
| RepViTYear=2023, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 76.86 | 95.02 | |
| ConvNeXT-BYear=2022, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 76.76 | 93.9 | |
| PRENetYear=2017, Pretrained Weights=Yes (Food2K)2024.02 | 76.28 | 94.85 | |
| SEnet154Year=2017, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 76.02 | 94.61 | |
| Inceptionv4Year=2016, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 75.7 | 93.89 | |
| DenseNet121Year=2016, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 74.77 | 94.29 | |
| ResNet101Year=2015, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 72.59 | 93.16 | |
| ViT-BYear=2020, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 71.58 | 91.62 | |
| VGG16Year=2014, Pretrained Weights=Yes (ImageNet-1K)2024.02 | 65.06 | 89.6 |