Can I read The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces on EtoBox?

The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces by Robinson, Joseph P.; Qin, Can; Shao, Ming; Turk, Matthew A.; Chellappa, Rama; Fu, Yun is a scholarly article available to read on EtoBox.

What is The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces about?

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.

Author

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

Published

2021

Language

EN