Visual Question Answering Vqa On Whoops
Métriques
BEM
Exact Match
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | BEM | Exact Match | Paper Title | Repository |
|---|---|---|---|---|
| BLIP2 FlanT5-XXL (Text-only FT) | 24 | 4 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | - |
| BLIP2 FlanT5-XL (Fine-tuned) | 55 | 20 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | - |
| OFA Large | 38 | 8 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | - |
| BLIP Large | 39 | 6 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | - |
| BLIP2 FlanT5-XXL (Zero-shot) | 55 | 15 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | - |
| BLIP2 FlanT5-XXL (Fine-tuned) | 57 | 21 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images | - |
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