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Other (journal, report, ...) 2015

FaceNet: A Unified Embedding for Face Recognition and Clustering

Schroff, Florian; Kalenichenko, Dmitry; Philbin, James

Abstract

Presents FaceNet, which learns a compact embedding where distances correspond to face similarity, trained with online triplet mining; 99.63% on LFW and 95.12% on YouTube Faces.

face recognitionface verificationembeddingdeep learningtriplet loss

Details

Publisher
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

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