Video Question Answering On Tvbench
평가 지표
Average Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Average Accuracy |
|---|---|
| aria-an-open-multimodal-native-mixture-of | 51.0 |
| pllava-parameter-free-llava-extension-from-1 | 42.3 |
| mplug-owl3-towards-long-image-sequence | 42.2 |
| tarsier-recipes-for-training-and-evaluating-1 | 46.9 |
| video-instruction-tuning-with-synthetic-data | 45.6 |
| pllava-parameter-free-llava-extension-from-1 | 34.9 |
| internlm-xcomposer-2-5-a-versatile-large | 51.6 |
| qwen2-vl-enhancing-vision-language-model-s | 52.7 |
| qwen2-vl-enhancing-vision-language-model-s | 43.8 |
| video-instruction-tuning-with-synthetic-data | 50.0 |
| st-llm-large-language-models-are-effective-1 | 35.7 |
| gpt-4o-system-card | 39.9 |
| videollama-2-advancing-spatial-temporal | 48.4 |
| pllava-parameter-free-llava-extension-from-1 | 36.4 |
| videogpt-integrating-image-and-video-encoders | 41.7 |
| videollama-2-advancing-spatial-temporal | 42.9 |
| videollama-2-advancing-spatial-temporal | 42.1 |
| tarsier2-advancing-large-vision-language | 54.7 |
| mvbench-a-comprehensive-multi-modal-video | 35.0 |
| gemini-1-5-unlocking-multimodal-understanding | 47.6 |
| tarsier-recipes-for-training-and-evaluating-1 | 55.5 |