Recognizing Families In the Wild (RFIW): The 5th Edition

• URL: http://arxiv.org/abs/2111.00598v2
• Date: Tue, 2 Nov 2021 05:20:07 GMT
• Title: Recognizing Families In the Wild (RFIW): The 5th Edition
• Authors: Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, and Yun Fu
• Abstract summary: This is our fifth edition of RFIW, for which we continue the effort to attract scholars, bring together professionals, publish new work, and discuss prospects. In this paper, we summarize submissions for the three tasks of this year's RFIW: specifically, we review the results for kinship verification, tri-subject verification, and family member search and retrieval. We take a look at the RFIW problem, as well as share current efforts and make recommendations for promising future directions.
• Score: 115.73174360706136
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recognizing Families In the Wild (RFIW), held as a data challenge in conjunction with the 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG), is a large-scale, multi-track visual kinship recognition evaluation. This is our fifth edition of RFIW, for which we continue the effort to attract scholars, bring together professionals, publish new work, and discuss prospects. In this paper, we summarize submissions for the three tasks of this year's RFIW: specifically, we review the results for kinship verification, tri-subject verification, and family member search and retrieval. We take a look at the RFIW problem, as well as share current efforts and make recommendations for promising future directions.

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