{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/massface-an-efficient-implementation-using","title":"MassFace: an efficient implementation using triplet loss for face recognition","arxiv_id":"1902.11007","date":"2019-02-28","proceeding":null,"authors":["Yule Li"],"abstract":"In this paper we present an efficient implementation using triplet loss for\nface recognition. We conduct the practical experiment to analyze the factors\nthat influence the training of triplet loss. All models are trained on\nCASIA-Webface dataset and tested on LFW. We analyze the experiment results and\ngive some insights to help others balance the factors when they apply triplet\nloss to their own problem especially for face recognition task. Code has been\nreleased in https://github.com/yule-li/MassFace.","url_abs":"http://arxiv.org/abs/1902.11007v1","url_pdf":"http://arxiv.org/pdf/1902.11007v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"massface-an-efficient-implementation-using","repo_url":"https://github.com/yule-li/MassFace","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"face-recognition","task_name":"Face Recognition"},{"task_slug":null,"task_name":"Triplet"}],"methods":[{"method_slug":"triplet-loss","method_name":"Triplet Loss"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}