Video Question Answering On Msrvtt Mc
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Singularity-temporal | 93.7 | Revealing Single Frame Bias for Video-and-Language Learning | |
| Norton | 92.7 | Multi-granularity Correspondence Learning from Long-term Noisy Videos | |
| HiTeA | 97.4 | HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training | - |
| VindLU | 95.5 | VindLU: A Recipe for Effective Video-and-Language Pretraining | |
| VIOLETv2 | 97.6 | An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling | |
| Singularity | 92.1 | Revealing Single Frame Bias for Video-and-Language Learning | |
| Clover | 95.2 | Clover: Towards A Unified Video-Language Alignment and Fusion Model |
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