The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces
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.
Keywords
Cite
@article{arxiv.2111.00598,
title = {The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces},
author = {Joseph P. Robinson and Can Qin and Ming Shao and Matthew A. Turk and Rama Chellappa and Yun Fu},
journal= {arXiv preprint arXiv:2111.00598},
year = {2021}
}
Comments
2021 IEEE Conference on Automatic Face and Gesture Recognition