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Probabilistic Face Embeddings. News: Our paper has been accepted to ICCV 2019. This is a demo code of training and testing Probabilistic Face Embeddings using Tensorflow. Probabilistic Face Embeddging (PFE) is a method that converts conventional CNN-based face embeddings into probabilistic embeddings by calibrating each feature value with an uncertainty value....

https://github.com/seasonSH/Probabilistic-Face-Embeddings

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Facial recognition in 2020 (7 trends to watch)

#3 Facial recognition markets Face recognition markets. A study published in June 2019, estimates that by 2024, the global facial recognition market would generate $7 billion of revenue, supported by a compound annual growth rate (CAGR) of 16% over the period 2019-2024.. For 2019, the market is estimated at $3.2 billion. The two most significant drivers of this growth are surveillance in the ......

https://www.thalesgroup.com/en/markets/digital-identity-and-security/government/...

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