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Object Recognition on GeoNet Asia

52.5Top-1 AccuracyCountryLLM
43.03645.49347.9550.407Jan 3, 2024

Evaluation results

MethodLinks
CountryLLMEncoder=ViT-B/16, Zero-shot=true2024.0152.571.1
GeneralLLMEncoder=ViT-B/16, Zero-shot=true2024.0152.270.9
CountryInPrompt+LLMEncoder=ViT-B/16, Zero-shot=true2024.0151.470.9
CountryInPromptEncoder=ViT-B/16, Zero-shot=true2024.0150.770.5
Zero-Shot CLIPEncoder=ViT-B/16, Zero-shot=true2024.0150.269.2
CountryInPrompt+LLMEncoder=ViT-B/32, Zero-shot=true2024.0147.867.7
CountryLLMEncoder=ViT-B/32, Zero-shot=true2024.0147.767.1
GeneralLLMEncoder=ViT-B/32, Zero-shot=true2024.0146.667
CountryInPromptEncoder=ViT-B/32, Zero-shot=true2024.0146.566.3
Zero-Shot CLIPEncoder=ViT-B/32, Zero-shot=true2024.0146.266.1
CountryLLMEncoder=RN50, Zero-shot=true2024.0145.765.2
GeneralLLMEncoder=RN50, Zero-shot=true2024.0145.465.5
CountryInPrompt+LLMEncoder=RN50, Zero-shot=true2024.0145.465.7
CountryInPromptEncoder=RN50, Zero-shot=true2024.0143.963.7
Zero-Shot CLIPEncoder=RN50, Zero-shot=true2024.0143.463.2