[visionlist] ECCV’2022: Concept drift in Object Detection applied to the largest annotated public thermal database

[Sergio Escalera]

Challenge @ECCV’2022: Concept drift in Object Detection applied to the
largest annotated public thermal database

Challenge description: The challenge will use an extension of the LTD
Dataset (Nikolov, Ivan Adriyanov, et al. "Seasons in Drift: A Long-Term
Thermal Imaging Dataset for Studying Concept Drift." NeurIPS, 2021) which
consists of thermal footage that spans multiple seasons. For deployment and
long-term use of machine-learning algorithms in a surveillance context it
is vital that the algorithm is robust to the concept drift that occurs as
the conditions in the outdoor environment changes. This challenge aims to
spotlight the problem of concept drift in a surveillance context and
highlight the challenges and limitations of existing methods. It will be
divided into three competition tracks. Depending on the track chosen the
training data will vary, however the validation and testing data will
remain the same across all challenges.

   1.

   Track 1 - Detection at day level: Train on a predefined and single day
   data and evaluate concept drift across time.
   2.

   Track 2 - Detection at week level: Train on a predefined and single week
   data and evaluate concept drift across time.
   3.

   Track 3 - Detection at month level: Train on a predefined and single
   month data and evaluate concept drift across time.


Challenge webpage: https://chalearnlap.cvc.uab.cat/challenge/51/description/


Tentative Schedule:


   -

   Start of the Challenge (development phase): April 25, 2022
   -

   Start of test phase: June 17, 2022
   -

   End of the Challenge: June 24, 2022
   -

   Release of final results: July 1st, 2022


Participants are invited to submit their contributions to the associated
ECCV’22 Workshop (https://vap.aau.dk/rws-eccv2022/), independently of their
rank position.

ORGANIZATION and CONTACT

Sergio Escalera <sergio.escalera.guerrero at gmail.com>, Computer Vision
Center (CVC) and University of Barcelona, Spain

Kamal Nasrollahi <kn at create.aau.dk>, Milestone Systems and Aalborg
University, Denmark

Thomas B. Moeslund, Aalborg University, Aalborg, Denmark

Julio C. S. Jacques Junior, Computer Vision Center (CVC), Spain

Anders Skaarup Johansen, Aalborg University, Denmark

Radu Ionescu, University of Bucharest, Romania

Fahad Shahbaz Khan, Mohamed bin Zayed University of Artificial
Intelligence, Abu Dhabi, United Arab Emirates, and Linköping University,
Sweden

Anthony Hoogs, Kitware, USA

Shmuel Peleg, Hebrew University, Israel

Mubarak Shah, University of Central Florida, USA



-- 
*Dr. Sergio Escalera Guerrero*
Full Professor at Universitat de Barcelona
ELLIS Fellow / Head of Human Pose Recovery and Behavior Analysis group /
ICREA Academia / Project Manager at the Computer Vision Center
Email: sergio.escalera.guerrero at gmail.com / Webpage:
http://www.sergioescalera.com/ <http://www.maia.ub.es/~sergio/>  / Phone:+34
934020853
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