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ResearchFormerly WizWand

Image Classification on UC Merced (Overall Accuracy %)

99.52Overall Accuracy (OA %)GELU
10.620833.700456.7879.8596May 14, 2026May 18, 2026May 23, 2026May 27, 2026Jun 1, 2026Jun 5, 2026Jun 10, 2026
Updated 4mo ago

Evaluation results

MethodLinks
GELUBackbone=ViT-B/162026.0599.52
ArcGateBackbone=ViT-B/162026.0598.33
ArcGateBackbone=ResNet-502026.0598.15
Leaky-ReLUBackbone=ResNet-502026.0598.09
ReLUBackbone=ResNet-502026.0597.85
Leaky-ReLUBackbone=ViT-B/162026.0597.38
ReLUBackbone=ViT-B/162026.0596.9
GELUBackbone=ResNet-502026.0596.19
SiLU (Swish)Backbone=ViT-B/162026.0595.47
SiLU (Swish)Backbone=ResNet-502026.0591.9
TanhBackbone=ResNet-502026.0590.95
CLIPModel=Idefics2-8B2026.0685.9
DINOModel=Idefics2-8B2026.0685.7
GRIPModel=Idefics2-8B2026.0685.2
ViTModel=Idefics2-8B2026.0684.2
SigmoidBackbone=ViT-B/162026.0575
GRIPModel=Qwen2.5-VL-7B2026.0674.5
ViTModel=Qwen2.5-VL-7B2026.0671.4
DINOModel=Qwen2.5-VL-7B2026.0670.5
CLIPModel=Qwen2.5-VL-7B2026.0670
Zero ShotModel=Qwen2.5-VL-7B2026.0669
Zero ShotModel=Idefics2-8B2026.0666.4
TanhBackbone=ViT-B/162026.0555
SigmoidBackbone=ResNet-502026.0514.04