Image Classification on UC Merced (Overall Accuracy %)
99.52Overall Accuracy (OA %)GELU
Evaluation Results
| Method | Links | |
|---|---|---|
| GELUBackbone=ViT-B/162026.05 | 99.52 | |
| ArcGateBackbone=ViT-B/162026.05 | 98.33 | |
| ArcGateBackbone=ResNet-502026.05 | 98.15 | |
| Leaky-ReLUBackbone=ResNet-502026.05 | 98.09 | |
| ReLUBackbone=ResNet-502026.05 | 97.85 | |
| Leaky-ReLUBackbone=ViT-B/162026.05 | 97.38 | |
| ReLUBackbone=ViT-B/162026.05 | 96.9 | |
| GELUBackbone=ResNet-502026.05 | 96.19 | |
| SiLU (Swish)Backbone=ViT-B/162026.05 | 95.47 | |
| SiLU (Swish)Backbone=ResNet-502026.05 | 91.9 | |
| TanhBackbone=ResNet-502026.05 | 90.95 | |
| CLIPModel=Idefics2-8B2026.06 | 85.9 | |
| DINOModel=Idefics2-8B2026.06 | 85.7 | |
| GRIPModel=Idefics2-8B2026.06 | 85.2 | |
| ViTModel=Idefics2-8B2026.06 | 84.2 | |
| SigmoidBackbone=ViT-B/162026.05 | 75 | |
| GRIPModel=Qwen2.5-VL-7B2026.06 | 74.5 | |
| ViTModel=Qwen2.5-VL-7B2026.06 | 71.4 | |
| DINOModel=Qwen2.5-VL-7B2026.06 | 70.5 | |
| CLIPModel=Qwen2.5-VL-7B2026.06 | 70 | |
| Zero ShotModel=Qwen2.5-VL-7B2026.06 | 69 | |
| Zero ShotModel=Idefics2-8B2026.06 | 66.4 | |
| TanhBackbone=ViT-B/162026.05 | 55 | |
| SigmoidBackbone=ResNet-502026.05 | 14.04 |