Visual Question Answering On Gqa
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| RelViT | 65.54 | RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning | |
| PEVL+ | 77 | PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models |
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