| VideoMultiAgent (GPT-4o) |
- Accuracy
- 79.6
|
VideoMultiAgents: A Multi-Agent Framework for Video Question Answering
2025-04-25 |
코드 1 |
| Tarsier (34B) |
- Accuracy
- 79.2
|
Tarsier: Recipes for Training and Evaluating Large Video Description Models
2024-06-30 |
코드 1 |
| AKEYS |
- Accuracy
- 78.1
|
Agentic Keyframe Search for Video Question Answering
2025-03-20 |
코드 1 |
| ENTER |
- Accuracy
- 75.1
|
ENTER: Event Based Interpretable Reasoning for VideoQA
2025-01-24 |
연결 없음 |
| TS-LLaVA-34B |
- Accuracy
- 73.6
|
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
2024-11-17 |
코드 1 |
| VideoTree (GPT4) |
- Accuracy
- 73.5
|
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
2024-05-29 |
코드 1 |
| LVNet(GPT-4o) |
- Accuracy
- 72.9
|
Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA
2024-06-13 |
코드 1 |
| VideoAgent (GPT-4) |
- Accuracy
- 71.3
|
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
2024-03-15 |
코드 1 · 코드 2 |
| IG-VLM(LLaVA v1.6) |
- Accuracy
- 70.9
|
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
2024-03-27 |
코드 1 |
| VidCtx (7B) |
- Accuracy
- 70.7
|
VidCtx: Context-aware Video Question Answering with Image Models
2024-12-23 |
코드 1 |
| MoReVQA(PaLM-2) |
- Accuracy
- 69.2
|
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering
2024-04-09 |
연결 없음 |
| IG-VLM (GPT-4) |
- Accuracy
- 68.6
|
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
2024-03-27 |
코드 1 |
| TraveLER (GPT-4) |
- Accuracy
- 68.2
|
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering
2024-04-01 |
코드 1 |
| LLoVi (GPT-4) |
- Accuracy
- 67.7
|
A Simple LLM Framework for Long-Range Video Question-Answering
2023-12-28 |
코드 1 |
| LongVA(32 frames) |
- Accuracy
- 67.1
|
Long Context Transfer from Language to Vision
2024-06-24 |
코드 1 · 코드 2 |
| Q-ViD |
- Accuracy
- 66.3
|
Question-Instructed Visual Descriptions for Zero-Shot Video Question Answering
2024-02-16 |
코드 1 |
| ProViQ |
- Accuracy
- 64.6
|
Zero-Shot Video Question Answering with Procedural Programs
2023-12-01 |
연결 없음 |
| SlowFast-LLaVA-34B |
- Accuracy
- 64.2
|
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
2024-07-22 |
코드 1 |
| Sevila (4B) |
- Accuracy
- 63.6
|
Self-Chained Image-Language Model for Video Localization and Question Answering
2023-05-11 |
코드 1 |
| VideoChat2 |
- Accuracy
- 61.7
|
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
2023-11-28 |
코드 1 · 코드 2 · 코드 3 |
| DeepStack-L(7B) |
- Accuracy
- 61.0
|
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
2024-06-06 |
연결 없음 |
| LangRepo (12B) |
- Accuracy
- 60.9
|
Language Repository for Long Video Understanding
2024-03-21 |
코드 1 |
| ViperGPT (GPT-3.5) |
- Accuracy
- 60.0
|
ViperGPT: Visual Inference via Python Execution for Reasoning
2023-03-14 |
코드 1 |
| MVU (13B) |
- Accuracy
- 55.2
|
Understanding Long Videos with Multimodal Language Models
2024-03-25 |
코드 1 |
| LLoVi (7B) |
- Accuracy
- 54.3
|
A Simple LLM Framework for Long-Range Video Question-Answering
2023-12-28 |
코드 1 |
| VFC |
- Accuracy
- 51.5
|
Verbs in Action: Improving verb understanding in video-language models
2023-04-13 |
코드 1 |
| Mistral (7B) |
- Accuracy
- 51.1
|
Mistral 7B
2023-10-10 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |