Video Question Answering On Tvqa
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| vindlu-a-recipe-for-effective-video-and | 79.0 |
| zero-shot-video-question-answering-via-frozen | 82 |
| hero-hierarchical-encoder-for-video-language | 74.24 |
| iperceive-applying-common-sense-reasoning-to-1 | 76.96 |
| large-language-models-are-temporal-and-causal | 82.2 |
| tvqa-spatio-temporal-grounding-for-video | 70.50 |