Video Question Answering On Situated
평가 지표
Average Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Average Accuracy |
|---|---|
| mist-multi-modal-iterative-spatial-temporal | 51.13 |
| traveler-a-multi-lmm-agent-framework-for | 44.9 |
| learning-situation-hyper-graphs-for-video | 39.47 |
| flamingo-a-visual-language-model-for-few-shot-1 | 42.8 |
| self-chained-image-language-model-for-video-1 | 64.9 |
| all-in-one-exploring-unified-video-language | 47.5 |
| glance-and-focus-memory-prompting-for-multi-1 | 53.94 |
| vlap-efficient-video-language-alignment-via | 67.1 |
| self-chained-image-language-model-for-video-1 | 44.6 |
| flamingo-a-visual-language-model-for-few-shot-1 | 39.7 |
| large-language-models-are-temporal-and-causal | 65.4 |
| internvideo-general-video-foundation-models | 58.7 |
| flamingo-a-visual-language-model-for-few-shot-1 | 41.8 |
| revisiting-the-video-in-video-language | 48.37 |
| anymal-an-efficient-and-scalable-any-modality | 48.2 |
| flamingo-a-visual-language-model-for-few-shot-1 | 42.4 |
| glance-and-focus-memory-prompting-for-multi-1 | 53.86 |