#33236
Mentioned in 1 episodes
FaceNet
A Unified Embedding for Face Recognition and Clustering
Book •
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.
It was developed by researchers at Google and is known for its high accuracy in face recognition benchmarks.
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Mentioned in 1 episodes
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when discussing self-supervised learning papers from FAIR.


Tim Scarfe

21 snips
#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).