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Mentioned in 1 episodes

FaceNet

A Unified Embedding for Face Recognition and Clustering
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FaceNet is a face recognition system that maps face images to a compact Euclidean space for efficient face recognition and clustering tasks.

It was developed by researchers at Google and is known for its high accuracy in face recognition benchmarks.

Mentioned by

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Tim Scarfe

Mentioned in 1 episodes

Mentioned by
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Tim Scarfe
when discussing self-supervised learning papers from FAIR.
21 snips
#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

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