First call for competitions at FG 2020
Hugo Jair
[Updated - Apologies for multiple postings]
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CALL FOR PROPOSALS
Competition Track of the 15th IEEE International Conference on Automatic Face and gesture recognition
May 18-22, 2020; Buenos Aires, Argentina
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We invite proposals for the 2020 IEEE International Conference on Automatic Face and gesture recognition (FG 2020) competition track to be held in Buenos Aires,Argentina. After the success of the past years, a new edition of the competition track will be held at FG 2020. We solicit competition proposals on any topic of interest to the FG community. We especially encourage competition proposals from emerging new fields or new application domains related to FG. Interdisciplinary topics that will attract a significant cross-section of the community are especially highly encouraged.
There will be two types of competitions:
Standard data science competitions, where participants will compete to obtain the best score on a machine learning task of interest to the FG community based on a problem and data defined and released by the organizers of the competition.
Live competitions, which will be held in a “science-fair” manner at FG 2020. Participants will present live demos at FG 2020 which apply methodology to an application domain defined by the organizers of the live competition.
There will be a competition track at FG 2020, co-located with the conference workshops, where competition results will be presented and discussed. Competition organizers will be asked to propose a tentative schedule for presentation of the competition and its results during an assigned time slot; FG will provide coffee breaks and, if necessary, poster facilities. Competition organizers and participants may be invited to contribute a book chapter the upcoming FG 2020 Competition Volume of the Springer Series on Challenges in Machine Learning (pending acceptance).
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Reviewing and selection process
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A competition program committee will be formed, consisting of experts on the scope of the conference and on challenge organization. Each proposal will be reviewed by at least three members of the committee. The factors that will be considered when evaluating proposals include:
Task chosen: Impact, originality, relevance to the FG community will all be considered. Tasks that include humanitarian and/or positive societal impact are especially highly encouraged this year, although other topics relevant to the FG community will also be considered. If humanitarian projects are submitted, the involvement of the community in question is strongly desired, and “parachute science” is strongly discouraged.
Protocol of competition: Feasibility of the task chosen, soundness of the evaluation criteria, and clarity and fairness of the competition rules will all be considered.
Logistics: Schedule, plan for attracting competition participants, and experience and diversity of the organizers will all be considered. The specific plan for attracting participants of groups under-represented at FG will be considered.
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Proposal preparation and submission
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Standard data science and live competition proposals must both be submitted via CMT at: https://cmt3.research.microsoft.com/COMPFG2020
Please carefully follow the provided Latex template when preparing proposals.
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Important dates
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Competition proposal submission deadline: August 30, 2019
Acceptance notification: September 30, 2019
Competition track: May, 2020
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Additional comments
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Competition organizers should propose a timeline for running the competition to ensure that participants have enough time to contribute a high-quality entries. It is recommended that competitions be completed by the end of February, 2020 at the absolute latest.
Competition organizers that require help or suggestions regarding competition platforms for running the competition can contact the competition chair for advice.
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Previous competitions
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2019 accepted competitions: http://fg2019.org/participate/competitions/
2018 accepted competitions: https://fg2018.cse.sc.edu/Challenges.html
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Competition chairs
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Hugo Jair Escalante, INAOE, CINVESTAV, Mexico, ChaLearn, USA hugo...@gmail.com
Isabelle Guyon, Université Paris-Saclay (UPSud/INRIA), France, ChaLearn, USA,