Apologies if you receive multiple copies of this CFP --------------------------
We cordially invite you to participate to our
ECCV 2020 ChaLearn Looking at People Fair Face Recognition Workshop and Challenge
Challenge - http://chalearnlap.cvc.uab.es/challenge/38/description/ We present a new collected dataset with 13k images from 3k new subjects along with a reannotated version of IJB-C (140k images from 3.5k subjects), totalling 153k facial images from 6.1k unique identities. Both databases have been accurately annotated for gender and skin colour (protected attributes) as well as for age group, eyeglasses, head pose, image source and face size. The task: Participants will be asked to develop their fair face verification method aiming for a reduced bias in terms of gender and skin color (protected attributes). The method developed by the participants will need to output a list of confidence scores given test ID pairs to be verified. Both the bias and accuracy of the method will be evaluated using the provided face dataset. The final ranking of each model will depend both on its bias and accuracy with the emphasis on bias.
- Start of the challenge (development phase): April 7th, 2020 - Start of test phase: June 22th, 2020 - End of the challenge: July 1st, 2020 - Fact sheets and code submission: July 4th, 2020 - Release of final results: July 12th, 2020
Winning teams will receive a travel grant from our sponsors to attend and present their solutions at the ECCV workshop of the challenge. Participants' methods are also welcome as a paper submission to the workshop. Top ranked participants will be also invited to join a paper preparation on the topic of the challenge to a relevant venue (i.e. CVPR/TPAMI).
Workshop - http://chalearnlap.cvc.uab.es/workshop/37/description/ The workshop will focus on bias analysis and mitigation methodologies, which will result in more fair face recognition and analysis systems. These advances will have a direct impact within society's equality of opportunity. In this proposal we plan to provide a comprehensive up to date review on fair face recognition and analysis research. We find of crucial interest to centralize ideas, discuss them and push the field to advance towards more fair systems for the good of society. Complementary to that, we will also contribute pushing research in the field by releasing a large annotated dataset for fair face verification and running an associated challenge. Paper submission is independent to challenge participation.
- Paper submission: July 7th, 2020 - Notification to authors: July 28th, 2020 - Camera-ready: September 4th, 2020 ORGANIZATION & SPONSORS Sergio Escalera, Computer Vision Center (UAB) and University of Barcelona, Spain Rama Chellappa, University of Maryland, United States of America Eduard Vazquez, Anyvision, Belfast, Northern Ireland Neil Robertson, Queen’s University Belfast / Anyvision, Belfast, Northern Ireland Sankha Subhra Mukherjee, Anyvision, Belfast, Northern Ireland Pau Buch-Cardona, Computer Vision Center (UAB) and University of Barcelona, Spain Tomas Sixta, Belfast, Northern Ireland Julio C. S. Jacques Junior, Universitat Oberta de Catalunya (UOC) and Computer Vision Center (CVC/UAB), Spain
INVITED SPEAKERS Rama Chellappa, University of Maryland Kate Saenko, Boston University Matthew Turk, University of California Walter J. Scheirer, University of Notre Dame Alice O’Toole, University of Texas at Dallas Dimitris Metaxas, Rutgers University Olga Russakovsky, Princeton University Judy Hoffman, Georgia Tech