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

arxiv(2021)

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摘要
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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关键词
multitrack visual kinship recognition evaluation,kinship verification,tri-subject verification,family member search,RFIW problem,wild data challenge,FG,16th IEEE International Conference on automatic face and gesture recognition,large-scale,5th recognizing families
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