fdbtrs/ElasticFace
Official repository of CVPRW2022 paper, ElasticFace: Elastic Margin Loss for Deep Face Recognition
This project provides advanced face recognition models and training tools. It takes a dataset of faces and their identities, then trains a model that can accurately identify individuals. The output is a highly precise face recognition model suitable for tasks requiring robust individual identification. Researchers and developers working on building or improving face recognition systems would use this.
175 stars. No commits in the last 6 months.
Use this if you need to train or evaluate highly accurate deep learning models for face recognition tasks.
Not ideal if you're looking for an out-of-the-box face recognition application without any model training or development.
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175
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24
Language
Python
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Last pushed
Mar 04, 2023
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0
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