| Tarsier (34B) |
- Confidence Score
- 3.7
- Accuracy
- 61.6
|
Tarsier: Recipes for Training and Evaluating Large Video Description Models 2024-06-30 |
코드 1 |
| PLLaVA (34B) |
- Confidence Score
- 3.7
- Accuracy
- 60.9
|
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning 2024-04-25 |
코드 1 |
| PPLLaVA-7B |
- Confidence Score
- 3.6
- Accuracy
- 60.7
|
PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance 2024-11-04 |
코드 1 |
| LinVT-Qwen2-VL(7B) |
- Confidence Score
- 3.6
- Accuracy
- 60.1
|
LinVT: Empower Your Image-level Large Language Model to Understand Videos 2024-12-06 |
코드 1 |
| SlowFast-LLaVA-34B |
- Confidence Score
- 3.5
- Accuracy
- 59.2
|
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models 2024-07-22 |
코드 1 |
| TS-LLaVA-34B |
- Confidence Score
- 3.5
- Accuracy
- 58.9
|
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models 2024-11-17 |
코드 1 |
| IG-VLM |
- Confidence Score
- 3.5
- Accuracy
- 58.4
|
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM 2024-03-27 |
코드 1 |
| LLaVA-Mini |
- Confidence Score
- 3.5
- Accuracy
- 53.5
|
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token 2025-01-07 |
코드 1 |
| Flash-VStream |
- Confidence Score
- 3.4
- Accuracy
- 51.9
|
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams 2024-06-12 |
코드 1 |
| ST-LLM |
- Confidence Score
- 3.3
- Accuracy
- 50.9
|
ST-LLM: Large Language Models Are Effective Temporal Learners 2024-03-30 |
코드 1 |
| VideoGPT+ |
- Confidence Score
- 3.6
- Accuracy
- 50.6
|
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding 2024-06-13 |
코드 1 |
| CAT-7B |
- Confidence Score
- 3.5
- Accuracy
- 50.2
|
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios 2024-03-07 |
코드 1 |
| Video-LaVIT |
- Confidence Score
- 3.3
- Accuracy
- 50.1
|
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization 2024-02-05 |
코드 1 |
| VideoChat2 |
- Confidence Score
- 3.3
- Accuracy
- 49.1
|
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark 2023-11-28 |
코드 1 · 코드 2 · 코드 3 |
| LLaMA-VID-13B (2 Token) |
- Confidence Score
- 3.3
- Accuracy
- 47.5
|
LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models 2023-11-28 |
코드 1 · 코드 2 |
| LLaMA-VID-7B (2 Token) |
- Confidence Score
- 3.3
- Accuracy
- 47.4
|
LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models 2023-11-28 |
코드 1 · 코드 2 |
| Chat-UniVi-13B |
- Confidence Score
- 3.6
- Accuracy
- 46.4
|
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 |
| MiniGPT4-video-7B |
- Accuracy
- 46.3
|
MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens 2024-04-04 |
코드 1 · 코드 2 |
| Chat-UniVi |
- Confidence Score
- 3.3
- Accuracy
- 46.1
|
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 |
| BT-Adapter (zero-shot) |
- Confidence Score
- 3.2
- Accuracy
- 46.1
|
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning 2023-09-27 |
코드 1 |
| MovieChat |
- Confidence Score
- 3.1
- Accuracy
- 45.7
|
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding 2023-07-31 |
코드 1 |
| Video-LLaVA |
- Confidence Score
- 3.3
- Accuracy
- 45.3
|
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 |
| Elysium |
- Confidence Score
- 2.9
- Accuracy
- 43.4
|
Elysium: Exploring Object-level Perception in Videos via MLLM 2024-03-25 |
코드 1 |
| Video-ChatGPT |
- Confidence Score
- 2.7
- Accuracy
- 35.2
|
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models 2023-06-08 |
코드 1 · 코드 2 |
| LLaMA Adapter |
- Confidence Score
- 2.7
- Accuracy
- 34.2
|
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model 2023-04-28 |
코드 1 · 코드 2 · 코드 3 |
| Video Chat |
- Confidence Score
- 2.2
- Accuracy
- 26.5
|
VideoChat: Chat-Centric Video Understanding 2023-05-10 |
코드 1 |
| FrozenBiLM |
- Confidence Score
- -
- Accuracy
- 24.7
|
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models 2022-06-16 |
코드 1 · 코드 2 · 코드 3 |
| Video LLaMA |
- Confidence Score
- 1.1
- Accuracy
- 12.4
|
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding 2023-06-05 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |