Visual Question Answering On Vqa V1 Test Std
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| neural-module-networks | 58.7 |
| dynamic-memory-networks-for-visual-and | 60.4 |
| hierarchical-question-image-co-attention-for | 62.1 |
| show-ask-attend-and-answer-a-strong-baseline | 64.6 |
| training-recurrent-answering-units-with-joint | 63.2 |
| stacked-attention-networks-for-image-question | 58.9 |