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Visual Reasoning On Bongard Openworld

Metriken

2-Class Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
2-Class Accuracy
Paper TitleRepository
Human91.0Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World-
ChatCaptioner + ChatGPT49.3Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World-
Componential analysis - gpt-4o92.8A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMs-
componential analysis - gemini-2.093.6A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMs-
BLIP-2 + ChatGPT (Fine-tuned)63.3Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World-
InstructBLIP + ChatGPT + Neuro-Symbolic55.5Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World-
SNAIL64.0Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World-
Otter49.3Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World-
InstructBLIP + GPT-463.8Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World-
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Visual Reasoning On Bongard Openworld | SOTA | HyperAI