Zero Shot Video Question Answer On Video Mme
Metriken
Accuracy (%)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||
|---|---|---|
| Video-RAG (based on LLaVA-Video) | 77.4 | Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension |
| Gemini 1.5 Pro | 71.9 | Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context |
| GPT-4o | 70.3 | GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding |
| Gemini 1.5 Flash | 66.3 | Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context |
| LLaVA-OneVision (72B) | 64.8 | - |
| GPT-4o mini | 62.3 | GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding |
| VILA-1.5 (34B) | 61.4 | VILA: On Pre-training for Visual Language Models |
| VideoLLaMA2 (72B) | 60.9 | VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs |
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