Image Classification on EuroSAT (Overall Accuracy)
98.52Overall Accuracy (OA)ReLU
Evaluation Results
| Method | Links | |
|---|---|---|
| ReLUBackbone=ResNet-502026.05 | 98.52 | |
| ArcGateBackbone=ResNet-502026.05 | 98.47 | |
| Leaky-ReLUBackbone=ResNet-502026.05 | 98.43 | |
| GELUBackbone=ResNet-502026.05 | 98.06 | |
| GELUBackbone=ViT-B/162026.05 | 97.9 | |
| ArcGateBackbone=ViT-B/162026.05 | 97.69 | |
| SiLU (Swish)Backbone=ResNet-502026.05 | 97.56 | |
| TanhBackbone=ResNet-502026.05 | 96.67 | |
| ReLUBackbone=ViT-B/162026.05 | 96.01 | |
| Leaky-ReLUBackbone=ViT-B/162026.05 | 95.3 | |
| SigmoidBackbone=ViT-B/162026.05 | 94.69 | |
| SiLU (Swish)Backbone=ViT-B/162026.05 | 94.59 | |
| TanhBackbone=ViT-B/162026.05 | 91.94 | |
| SigmoidBackbone=ResNet-502026.05 | 62.28 |