Visual Question Answering Vqa On 5
Metrics
Overall Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | ||
|---|---|---|
| GPT-4V | 66.0 | AUTOHALLUSION: Automatic Generation of Hallucination Benchmarks for Vision-Language Models |
| Gemini Pro Vision | 51.4 | - |
| miniGPT4 | 51.0 | MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models |
| LLaVA-1.5 | 44.5 | Improved Baselines with Visual Instruction Tuning |
| Claude 3 | 37.1 | - |
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