Work

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

Year: 2021

Type: conference-paper

Abstract: Recognizing Families In the Wild (RFIW), held as a data challenge in conjunction with the 16thIEEE 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.

Source: International Conference on Automatic Face and Gesture Recognition

DOI: 10.1109/fg52635.2021.9666990

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

Institutions: Northeastern University, University of Massachusetts Dartmouth, Toyota Technological Institute at Chicago, Johns Hopkins University

Language: English

Topic: Face recognition and analysis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3214813796

FWCI: 0.321

Cites: 57

Cited by: 6

Related to: 10