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

TL;DR

This paper summarizes the fifth RFIW challenge focused on kinship recognition from faces, reviewing submissions across verification and retrieval tasks, and discussing current efforts and future directions in visual kinship recognition.

Contribution

It provides a comprehensive overview of recent advancements and results in kinship recognition challenges, highlighting progress and challenges in the field.

Findings

Improved kinship verification accuracy over previous years

Effective methods for tri-subject verification demonstrated

Enhanced family member search and retrieval performance

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.