GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition

In the field of face recognition, a model learns to distinguish millions of face images with fewer dimensional embedding features, and such vast information may not be properly encoded in the conventional model with a single branch. We propose a novel face-recognition-specialized architecture called...

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Veröffentlicht in:	arXiv.org 2020-05
Hauptverfasser:	Kim, Yonghyun, Park, Wonpyo, Myung-Cheol Roh, Shin, Jongju
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Annotations Embedding Face recognition Object recognition Representations
Online-Zugang:	Volltext
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