Fine-grained Image Classification on Flowers-102 (test)
59.9Mean AccuracyFastViT-SA12
Evaluation results
| Method | Links | |
|---|---|---|
| FastViT-SA12Params=10.60M, FLOPs=1.50G, Pre-training=None2026.02 | 59.9 | |
| TwistNet-18Params=11.59M, FLOPs=1.85G, Pre-training=None2026.02 | 58.5 | |
| RepViT-M1.5Params=13.67M, FLOPs=2.31G, Pre-training=None2026.02 | 51.6 | |
| Swin-TinyParams=27.56M, FLOPs=4.51G, Pre-training=None2026.02 | 48.8 | |
| ConvNeXtV2-NanoParams=15.01M, FLOPs=2.45G, Pre-training=None2026.02 | 46.1 | |
| ResNet-18Params=11.20M, FLOPs=1.82G, Pre-training=None2026.02 | 43.6 | |
| SE-ResNet-18Params=11.29M, FLOPs=1.82G, Pre-training=None2026.02 | 40.5 | |
| ConvNeXt-TinyParams=27.86M, FLOPs=4.47G, Pre-training=None2026.02 | 7.5 |