The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces
This is an incremental update to a domain-specific challenge for researchers in computer vision and face recognition, focusing on kinship analysis.
The paper summarizes the 5th Recognizing Families in the Wild data challenge, which tackled kinship recognition from faces through three tasks: kinship verification, tri-subject verification, and family member search and retrieval, with results reviewed but no concrete numbers provided.
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.