Face recognition models require different thresholds for different races? [D]

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  • ElasticFace

    Official repository for ElasticFace: Elastic Margin Loss for Deep Face Recognition

  • Hey, first of all, don't use FaceNet. It is outdated and performs way worse than modern solutions. You can use Elastic Face or MagFace (or any other SOTA FR model).

  • FairScoreNormalization

  • And yes, there are performance differences between ethnicities. You can either calculate a global decision threshold for all subgroups in your dataset for a given and fixed FMR, or you can apply normalization techniques. You could apply Group Based Score Normalization to calculate different thresholds for your subgroups and then use these in the normalisation procedure when doing the comparison. But when applying these techniques you should check the FNMR at different FMRs.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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