arXiv Open Access 2019

MassFace: an efficient implementation using triplet loss for face recognition

Yule Li

Lihat Sumber

Abstrak

In this paper we present an efficient implementation using triplet loss for face recognition. We conduct the practical experiment to analyze the factors that influence the training of triplet loss. All models are trained on CASIA-Webface dataset and tested on LFW. We analyze the experiment results and give some insights to help others balance the factors when they apply triplet loss to their own problem especially for face recognition task. Code has been released in https://github.com/yule-li/MassFace.

Topik & Kata Kunci

cs.CV

Penulis (1)

Yule Li

Format Sitasi

APA MLA BibTeX

Li, Y. (2019). MassFace: an efficient implementation using triplet loss for face recognition. https://arxiv.org/abs/1902.11007

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓