https://github.com/DAMO-NLP-SG/VideoLLaMA3
Frontier Multimodal Foundation Models for Image and Video Understanding
https://github.com/DAMO-NLP-SG/VideoLLaMA3
Last synced: about 2 months ago
JSON representation
Frontier Multimodal Foundation Models for Image and Video Understanding
- Host: GitHub
- URL: https://github.com/DAMO-NLP-SG/VideoLLaMA3
- Owner: DAMO-NLP-SG
- License: apache-2.0
- Created: 2025-01-19T11:06:53.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-01-31T07:24:45.000Z (10 months ago)
- Last Synced: 2025-01-31T08:26:32.432Z (10 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 105 MB
- Stars: 263
- Watchers: 5
- Forks: 16
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- StarryDivineSky - DAMO-NLP-SG/VideoLLaMA3 - 3,旨在提升视频理解能力,尤其在时间推理方面表现出色。该模型采用了一种新颖的框架,可以有效处理长视频,并实现更精确的视频内容理解。VideoLLaMA3支持多种任务,包括视频问答、视频描述生成等。项目提供了模型权重、代码和数据集,方便研究人员复现和进一步开发。其核心优势在于其强大的视频处理能力和对时间信息的有效利用,使其在视频理解领域具有显著优势。它通过结合视觉和语言信息,实现了对视频内容的更深入理解和更准确的预测。VideoLLaMA3的发布旨在推动多模态学习和视频理解领域的发展,并为相关应用提供更强大的基础模型。该项目是开源的,鼓励社区参与贡献和改进。 (多模态大模型 / 资源传输下载)
- ai-game-devtools - VideoLLaMA 3