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The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces

  • Joseph P. Robinson
  • , Can Qin
  • , Ming Shao
  • , Matthew A. Turk
  • , Rama Chellappa
  • , Yun Fu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. For the fifth edition of RFIW, we continue 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 look at the RFIW problem, share current efforts, and make recommendations for promising future directions.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2021
EditorsVitomir Struc, Marija Ivanovska
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665431767
DOIs
StatePublished - 2021
Event16th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2021 - Virtual, Online, India
Duration: Dec 15 2021Dec 18 2021

Publication series

NameProceedings - 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2021

Conference

Conference16th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2021
Country/TerritoryIndia
CityVirtual, Online
Period12/15/2112/18/21

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Control and Optimization

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