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SOTA
Visual Question Answering (VQA)
Visual Question Answering Vqa On Illusionvqa
Visual Question Answering Vqa On Illusionvqa
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
GPT4-Vision 4-shot
62.99
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
GPT4-Vision
58.85
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
Gemini-Pro 4-shot
52.87
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
Gemini-Pro
51.26
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
LLaVA-1.5-13B
40
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
CogVLM
38.16
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
InstructBLIP-13B
34.25
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
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Visual Question Answering Vqa On Illusionvqa | SOTA | HyperAI