Visual Question Answering Vqa On Activitynet 1
Metriken
ClipMatch@1
ClipMatch@5
Contains
ExactMatch
Follow-up ClipMatch@1
Follow-up ClipMatch@5
Follow-up Contains
Follow-up ExactMatch
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | ClipMatch@1 | ClipMatch@5 | Contains | ExactMatch | Follow-up ClipMatch@1 | Follow-up ClipMatch@5 | Follow-up Contains | Follow-up ExactMatch | Paper Title | Repository |
|---|---|---|---|---|---|---|---|---|---|---|
| BLIP-2 T5 | 53.39 | 74.71 | 15.70 | 7.07 | 62.02 | 75.13 | 18.09 | 8.84 | Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy |
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