Face Bio-metrics under COVID (Masked Face Recognition Challenge & Workshop ICCV 2021)

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The Masked Face Recognition Challenge & Workshop will be held in conjunction with the International Conference on Computer Vision (ICCV) 2021.

 

Chairs

Jiankang Deng, Imperial College London, UK                                     j.deng16@imperial.ac.uk

Zheng Zhu, Tsinghua University, China                                               zhengzhu@tsinghua.edu.cn

Jia Guo, InsightFace, China                                                                guojia@gmail.com

Stefanos Zafeiriou, Imperial College London, UK                                s.zafeiriou@imperial.ac.uk

 

Scope

During the COVID-19 coronavirus epidemic, almost everyone wears a facial mask, which poses a huge challenge to face recognition. Traditional face recognition systems may not effectively recognize the masked faces, but removing the mask for authentication will increase the risk of virus infection. Inspired by the COVID-19 pandemic response, the widespread requirement that people wear protective face masks in public places has driven a need to understand how face recognition technology deals with occluded faces, often with just the periocular area and above visible. 

To cope with the challenge arising from wearing masks, it is crucial to improve the existing face recognition approaches. Recently, some commercial providers have announced the availability of face recognition algorithms capable of handling face masks, and an increasing number of research publications have surfaced on the topic of face recognition on people wearing masks. However, due to the sudden outbreak of the epidemic, there is yet no publicly available masked face recognition benchmark. In this workshop, we will organise Masked Face Recognition (MFR) challenge and focus on bench-marking deep face recognition methods under the existence of facial masks.

 

Masked Face Recognition Challenge

InsightFace Track:Organisers

Jia Guo, InsightFace, China                                                                guojia@gmail.com

Xiang An, InsightFace, China                                                              anxiangsir@gmail.com

Zheng Zhu, Tsinghua University, China                                               zhengzhu@tsinghua.edu.cn

Details of Insightface Track: link

 

WebFace Track: Organisers

Zheng Zhu, Tsinghua University, China                                               zhengzhu@tsinghua.edu.cn

Jiagang Zhu, China                                                                              jiagang.zhu@xforwardai.com

Jia Guo, InsightFace, China                                                                guojia@gmail.com

 Details of WebFace Tracklink

 

Leaderboard

Insightface and WebFace 


Online Discussion for Challenge:

Check this link for the challenge tips and further discussions.

 

Challenge & Workshop Paper Submission:

Challenge participants can submit a paper to summarize the methodology and the achieved performance of their algorithm. We also welcome other face-related research works to submit to this workshop. Submissions should adhere to the main ICCV 2021 proceedings style. The workshop papers will be published in the ICCV 2021 proceedings. Please sign up in the submission system to submit your paper.


Important Dates:

  • 1 June - Announcement of the Challenge
  • 1 June - Release of the training data, baseline solutions and testing leader-board
  • August  - Workshop paper submission deadline
  • 6 August - Final decision on submitted workshop papers
  • 15 August - Deadline for camera-ready of workshop papers
  • 1 October - Stop leader-board submission (11:59 PM Pacific Time)

 

Sponsors:

The Masked Face Recognition Challenge has been supported by (in alphabetical order)

Kiwi Tech (5000$)

OneFlow (5000$)

XforwardAI (7750$)

Dynamic funding pool: (17,750$)


Contact:

InsightFace Track: insightface.challenge@gmail.com

WebFace Track: info@face-benchmark.org