Masked Face Recognition Challenge: The InsightFace Track Report

08/18/2021
by   Jiankang Deng, et al.
0

During the COVID-19 coronavirus epidemic, almost everyone wears a facial mask, which poses a huge challenge to deep face recognition. In this workshop, we organize Masked Face Recognition (MFR) challenge and focus on bench-marking deep face recognition methods under the existence of facial masks. In the MFR challenge, there are two main tracks: the InsightFace track and the WebFace260M track. For the InsightFace track, we manually collect a large-scale masked face test set with 7K identities. In addition, we also collect a children test set including 14K identities and a multi-racial test set containing 242K identities. By using these three test sets, we build up an online model testing system, which can give a comprehensive evaluation of face recognition models. To avoid data privacy problems, no test image is released to the public. As the challenge is still under-going, we will keep on updating the top-ranked solutions as well as this report on the arxiv.

READ FULL TEXT
research
08/16/2021

Masked Face Recognition Challenge: The WebFace260M Track Report

According to WHO statistics, there are more than 204,617,027 confirmed C...
research
03/06/2021

WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

In this paper, we contribute a new million-scale face benchmark containi...
research
05/19/2020

An examination of applicability of face recognition sensors in public facilities

This study aimed to explore the usability and applicability of face reco...
research
09/02/2019

Towards Flops-constrained Face Recognition

Large scale face recognition is challenging especially when the computat...
research
06/22/2022

UniCon+: ICTCAS-UCAS Submission to the AVA-ActiveSpeaker Task at ActivityNet Challenge 2022

This report presents a brief description of our winning solution to the ...
research
06/01/2018

Accurate and Efficient Similarity Search for Large Scale Face Recognition

Face verification is a relatively easy task with the help of discriminat...
research
12/08/2021

A study of Biases in Common Face Recognition Datasets

The performance of commonly used facial recognition datasets have been s...

Please sign up or login with your details

Forgot password? Click here to reset