haibo-qiu/FROM
[TPAMI 2021] End2End Occluded Face Recognition by Masking Corrupted Features
This project helps security or surveillance professionals accurately identify individuals even when parts of their face are covered. It takes images of faces, potentially obscured by masks or other objects, and provides a reliable identification of the person. This is ideal for use by researchers or engineers developing advanced facial recognition systems.
No commits in the last 6 months.
Use this if you need to perform robust face recognition on images where faces might be partially blocked or occluded.
Not ideal if you are looking for a plug-and-play solution for general image classification or object detection, rather than specialized occluded face recognition.
Stars
50
Forks
8
Language
Python
License
—
Category
Last pushed
Sep 23, 2022
Commits (30d)
0
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