| BIMBA-LLaVA-Qwen2-7B |
- Accuracy
- 71.14
|
BIMBA: Selective-Scan Compression for Long-Range Video Question Answering
2025-03-12 |
코드 1 |
| LinVT-Qwen2-VL(7B) |
- Accuracy
- 69.5
|
LinVT: Empower Your Image-level Large Language Model to Understand Videos
2024-12-06 |
코드 1 |
| Qwen2.5-Omni |
- Accuracy
- 68.6
|
Qwen2.5-Omni Technical Report
2025-03-26 |
코드 1 |
| LongVU (7B) |
- Accuracy
- 67.6
|
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
2024-10-22 |
코드 1 |
| Video-RAG (Based on LLaVA-Video) |
- Accuracy
- 66.7
|
Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
2024-11-20 |
코드 1 |
| VideoLLaMA2 (72B) |
- Accuracy
- 63.9
|
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
2024-06-11 |
코드 1 · 코드 2 · 코드 3 |
| Tarsier (34B) |
- Accuracy
- 61.7
|
Tarsier: Recipes for Training and Evaluating Large Video Description Models
2024-06-30 |
코드 1 |
| LVNet |
- Accuracy
- 61.1
|
Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA
2024-06-13 |
코드 1 |
| VideoTree (GPT4) |
- Accuracy
- 61.1
|
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
2024-05-29 |
코드 1 |
| InternVideo2-6B |
- Accuracy
- 60.2
|
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
2024-03-22 |
코드 1 · 코드 2 |
| VideoChat-T (7B) |
- Accuracy
- 60.0
|
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
2024-10-25 |
코드 1 |
| VideoChat2_phi3 |
- Accuracy
- 56.7
|
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
2023-11-28 |
코드 1 · 코드 2 · 코드 3 |
| VideoChat2_HD_mistral |
- Accuracy
- 55.8
|
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
2023-11-28 |
코드 1 · 코드 2 · 코드 3 |
| VideoChat2_mistral |
- Accuracy
- 54.4
|
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
2023-11-28 |
코드 1 · 코드 2 · 코드 3 |
| Vamos (GPT-4o) |
- Accuracy
- 53.6
|
Vamos: Versatile Action Models for Video Understanding
2023-11-22 |
코드 1 |
| TraveLER |
- Accuracy
- 53.3
|
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering
2024-04-01 |
코드 1 |
| LLoVi (GPT-3.5) |
- Accuracy
- 50.3
|
A Simple LLM Framework for Long-Range Video Question-Answering
2023-12-28 |
코드 1 |
| Video ReCap |
- Accuracy
- 50.23
|
Video ReCap: Recursive Captioning of Hour-Long Videos
2024-02-20 |
코드 1 · 코드 2 |
| Vamos (GPT-4) |
- Accuracy
- 48.3
|
Vamos: Versatile Action Models for Video Understanding
2023-11-22 |
코드 1 |
| LangRepo (12B) |
- Accuracy
- 41.2
|
Language Repository for Long Video Understanding
2024-03-21 |
코드 1 |
| MVU (13B) |
- Accuracy
- 37.6
|
Understanding Long Videos with Multimodal Language Models
2024-03-25 |
코드 1 |
| Vamos (13B) |
- Accuracy
- 36.7
|
Vamos: Versatile Action Models for Video Understanding
2023-11-22 |
코드 1 |
| LLoVi (7B) |
- Accuracy
- 33.5
|
A Simple LLM Framework for Long-Range Video Question-Answering
2023-12-28 |
코드 1 |
| TimeChat (7B) |
- Accuracy
- 33.0
|
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
2023-12-04 |
코드 1 · 코드 2 |
| InternVideo |
- Accuracy
- 32.1
|
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
2022-12-06 |
코드 1 · 코드 2 |
| mPLUG-Owl (7B) |
- Accuracy
- 31.1
|
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
2023-04-27 |
코드 1 |
| FrozenBiLM |
- Accuracy
- 26.9
|
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
2022-06-16 |
코드 1 · 코드 2 · 코드 3 |
| SeViLA (4B) |
- Accuracy
- 22.7
|
Self-Chained Image-Language Model for Video Localization and Question Answering
2023-05-11 |
코드 1 |
| Random |
- Accuracy
- 20.0
|
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