: Some write-ups use this file to show how a user can type a query (like "show me only the highlights") to influence the AI's output. Summary of Typical Content
: AI models like VideoLMs (Video Language Models) analyze the pixels to generate text descriptions of the action. SDMUA-033.mp4
: Files with similar "SDMUA" prefixes often appear in specialized computer vision repositories or as part of arXiv research papers focused on zero-shot, language-guided summarization. Technical Role in Research : Some write-ups use this file to show
While "SDMUA-033" is not a standard household name, the naming convention aligns with research datasets used to train and test Artificial Intelligence in video understanding. Specifically: Technical Role in Research While "SDMUA-033" is not
Videos in these datasets (like those found in SumMe or TVSum ) usually consist of everyday user-generated content, such as: Travel vlogs or holiday clips. Sports highlights or cooking tutorials. First-person (egocentric) perspective videos.
If you are looking for a specific analysis of the within SDMUA-033.mp4, you would typically need to refer to the specific research project or GitHub repository from which the file originated. Video Summarization with Large Language Models - arXiv
: The file is associated with studies exploring how AI can condense long videos into shorter, meaningful "skims".
@article{wang2021mlfw,
title={MLFW: A Database for Face Recognition on Masked Faces},
author={Wang, Chengrui and Fang, Han and Zhong, Yaoyao and Deng, Weihong},
journal={arXiv preprint arXiv:2109.05804},
year={2021}
}
This database is publicly available. We provide: 1) the original images(250x250), 2) the aligned images(112x112) and 3) the pair list. Baidu Netdisk(code:328y) , Google Drive
Now, we provide a list to indicate the masked faces. Google Drive