| Flash-VStream |
- Accuracy
- 72.4
- Confidence Score
- 3.4
|
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams 2024-06-12 |
코드 1 |
| PLLaVA (34B) |
- Accuracy
- 68.7
- Confidence Score
- 3.6
|
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning 2024-04-25 |
코드 1 |
| Elysium |
- Accuracy
- 67.5
- Confidence Score
- 3.2
|
Elysium: Exploring Object-level Perception in Videos via MLLM 2024-03-25 |
코드 1 |
| SlowFast-LLaVA-34B |
- Accuracy
- 67.4
- Confidence Score
- 3.7
|
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models 2024-07-22 |
코드 1 |
| Tarsier (34B) |
- Accuracy
- 66.4
- Confidence Score
- 3.7
|
Tarsier: Recipes for Training and Evaluating Large Video Description Models 2024-06-30 |
코드 1 |
| LinVT-Qwen2-VL
(7B) |
- Accuracy
- 66.2
- Confidence Score
- 4.0
|
LinVT: Empower Your Image-level Large Language Model to Understand Videos 2024-12-06 |
코드 1 |
| TS-LLaVA-34B |
- Accuracy
- 66.2
- Confidence Score
- 3.6
|
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models 2024-11-17 |
코드 1 |
| PPLLaVA-7B |
- Accuracy
- 64.3
- Confidence Score
- 3.5
|
PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance 2024-11-04 |
코드 1 |
| IG-VLM |
- Accuracy
- 63.8
- Confidence Score
- 3.5
|
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM 2024-03-27 |
코드 1 |
| ST-LLM |
- Accuracy
- 63.2
- Confidence Score
- 3.4
|
ST-LLM: Large Language Models Are Effective Temporal Learners 2024-03-30 |
코드 1 |
| CAT-7B |
- Accuracy
- 62.1
- Confidence Score
- 3.5
|
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios 2024-03-07 |
코드 1 |
| VideoGPT+ |
- Accuracy
- 60.6
- Confidence Score
- 3.6
|
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding 2024-06-13 |
코드 1 |
| Vista-LLaMA-7B |
- Accuracy
- 60.5
- Confidence Score
- 3.3
|
Vista-LLaMA: Reliable Video Narrator via Equal Distance to Visual Tokens 2023-12-12 |
연결 없음 |
| MiniGPT4-video-7B |
- Accuracy
- 59.73
|
MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens 2024-04-04 |
코드 1 · 코드 2 |
| LLaVA-Mini |
- Accuracy
- 59.5
- Confidence Score
- 3.6
|
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token 2025-01-07 |
코드 1 |
| Video-LaVIT |
- Accuracy
- 59.3
- Confidence Score
- 3.3
|
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization 2024-02-05 |
코드 1 |
| Video-LLaVA-7B |
- Accuracy
- 59.2
- Confidence Score
- 3.5
|
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection 2023-11-16 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |
| LLaMA-VID-13B (2 Token) |
- Accuracy
- 58.9
- Confidence Score
- 3.3
|
LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models 2023-11-28 |
코드 1 · 코드 2 |
| LLaMA-VID-7B (2 Token) |
- Accuracy
- 57.7
- Confidence Score
- 3.2
|
LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models 2023-11-28 |
코드 1 · 코드 2 |
| SUM-shot+Vicuna |
- Accuracy
- 56.8
|
Shot2Story20K: A New Benchmark for Comprehensive Understanding of Multi-shot Videos 2023-12-16 |
코드 1 |
| Omni-VideoAssistant |
- Accuracy
- 55.3
- Confidence Score
- 3.3
|
OmniDataComposer: A Unified Data Structure for Multimodal Data Fusion and Infinite Data Generation 2023-08-08 |
코드 1 |
| Chat-UniVi-7B |
- Accuracy
- 55.0
- Confidence Score
- 3.1
|
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding 2023-11-14 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| VideoChat2 |
- Accuracy
- 54.1
- Confidence Score
- 3.3
|
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark 2023-11-28 |
코드 1 · 코드 2 · 코드 3 |
| MovieChat |
- Accuracy
- 52.7
- Confidence Score
- 2.6
|
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding 2023-07-31 |
코드 1 |
| BT-Adapter (zero-shot) |
- Accuracy
- 51.2
- Confidence Score
- 2.9
|
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning 2023-09-27 |
코드 1 |
| Video-ChatGPT-7B |
- Accuracy
- 49.3
- Confidence Score
- 2.8
|
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models 2023-06-08 |
코드 1 · 코드 2 |
| Video Chat-7B |
- Accuracy
- 45.0
- Confidence Score
- 2.5
|
VideoChat: Chat-Centric Video Understanding 2023-05-10 |
코드 1 |
| LLaMA Adapter-7B |
- Accuracy
- 43.8
- Confidence Score
- 2.7
|
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model 2023-04-28 |
코드 1 · 코드 2 · 코드 3 |
| Video LLaMA-7B |
- Accuracy
- 29.6
- Confidence Score
- 1.8
|
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding 2023-06-05 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |