Large Scale Signer Independent Isolated SLR Challenge: Call for Papers

CVPR'2021 Large Scale Signer Independent Isolated SLR Challenge: 

We are organizing a sign classification challenge on a new dataset,
named AUTSL, consisting of 226 sign categories belonging to Turkish
Sign Language and 36,302 isolated sign video samples that are
performed by 43 different signers. The dataset includes a variety of
different backgrounds from indoor and outdoor environments, lighting
variability, different postures of signers, dynamic backgrounds, high
intra and low inter-class variabilities. Two competition tracks will
be available: RGB only, and RGB+Depth classification.

The results of the challenge will be presented at the associated CVPR
2021 Chalearn workshop. Participants of the challenge will be also
invited to submit a paper to the workshop presenting their solutions.

Important Dates :

    Start of the Challenge (development phase): December 22th, 2020

    Start of test phase: March 3rd, 2021

    End of the Challenge: March 11th, 2021

    Release of final results: March 20th, 2021

CVPR 2021 Chalearn LAP Sign Language Recognition in the Wild Workshop

There are several open challenges in Sign Language Recognition to
develop useful systems in practice, including signer independent
evaluation, continuous sign recognition, exploitation of hand
contextual cues (face and body), sign production, as well as model
generalization to different sign languages and demographics, to name a
few. In this workshop, we would like to bring together researchers
from the related disciplines to discuss the advances and the
challenges in this field. In this context, we accept papers addressing
the issues related to, but not limited to, these topics:

    Continuous SLR models

    Isolated SLR models in unconstrained settings

    Multi-modal SLR models

    SLR datasets: design considerations, new proposals and analysis of existing datasets.

    SLR production

    Interpretability/explainability of SLR models

    Few shot and unsupervised SLR

    Fairness, accountability, and transparency in SLR

    Lip reading

    Egocentric SLR

Paper submission to the workshop is independent from challenge participation.

Important Dates:

    Paper Submission: March 28th, 2021

    Decisions to Authors: April 10th, 2021

    Camera-Ready: April, 16th, 2021


Juergen Gall, Computer Vision Group, Bonn, Germany

Dimitris Metaxas Rutgers, City of New Brunswick, United States of America

Antonis Argyros, University of Crete, Crete, Greece

Richard Bowden, University of Surrey, Guildford, United Kingdom

Natalia Neverova, Facebook AI Research

Bencie Woll, UCL Deafness Cognition and Language Research Centre

Hongdong Li, Australian National University


Sergio Escalera, Computer Vision Center (UAB) and University of Barcelona, Spain

Hacer Yalim Keles, Ankara University, Turkey

Julio C. S. Jacques Junior, Universitat Oberta de Catalunya (UOC) and
Computer Vision Center (CVC/UAB), Spain

Ozge Mercanoglu Sincan, Ankara University, Turkey


This event is sponsored by ChaLearn -

University of Barcelona, Computer Vision Center at Autonomous
University of Barcelona, Human Pose Recovery and Behavior Analysis
group, and Ankara University, Computer Vision and Machine Learning
Group are the co-sponsors of the SLR Challenge.