Visual Question Answering Vqa On Infoseek
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| Modell 1 | 14.5 |
| blip-2-bootstrapping-language-image-pre | 14.6 |
| can-pre-trained-vision-and-language-models | 20.9 |
| can-pre-trained-vision-and-language-models | 20.4 |
| can-pre-trained-vision-and-language-models | 19.7 |
| pali-x-on-scaling-up-a-multilingual-vision | 24 |
| preflmr-scaling-up-fine-grained-late | 30.65 |