Image Classification on ZMS maturation assessment dataset (test)
93.41AccuracySKMamba
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| SKMambaArchitecture=Mamba-based, Params (M)=14.72026.06 | 93.41 | 93.36 | 93.83 | 93.56 | |
| EfficientNet-B0Architecture=CNN-based, Params (M)=4.02026.06 | 91.7 | 91.94 | 91.72 | 91.75 | |
| ResNet50Architecture=CNN-based, Params (M)=24.02026.06 | 91.57 | 91.54 | 91.46 | 91.5 | |
| Swin-TinyArchitecture=Transformer-based, Params (M)=28.02026.06 | 90.91 | 91.27 | 91.04 | 91.08 | |
| DenseNetArchitecture=CNN-based, Params (M)=7.02026.06 | 90.65 | 90.75 | 90.82 | 90.78 | |
| MobileViT-SArchitecture=Transformer-based, Params (M)=5.02026.06 | 90.38 | 90.4 | 90.77 | 90.49 | |
| MambaOut-TinyArchitecture=Mamba-based, Params (M)=24.02026.06 | 90.38 | 90.78 | 90.38 | 90.55 | |
| VGG16Architecture=CNN-based, Params (M)=134.02026.06 | 87.75 | 87.6 | 88.06 | 87.77 | |
| ViT-TinyArchitecture=Transformer-based, Params (M)=5.02026.06 | 84.85 | 85.16 | 85.22 | 85.18 | |
| Vim-SmallArchitecture=Mamba-based, Params (M)=24.02026.06 | 65.18 | 65.18 | 65.03 | 64.48 |