Connectionists: [CFP Deadline Extended] CVPR 2022 Continual Learning Workshop

[Vincenzo Lomonaco]

Dear all,

The* Call for Paper Deadline* of the *CVPR 2022 Continual Learning Workshop
<https://sites.google.com/view/clvision2022>* has been extended to the *21st
of March*!

Following recent CVPR updates <https://cvpr2022.thecvf.com/>, the workshop
will be held *in-person *but still guaranteeing remote participation! We
are looking forward to meeting you all in *New Orleans*!

P.s. We accept submissions of both *accepted *and *rejected* papers from
the main CVPR conference track with a special dual-submission
<https://sites.google.com/view/clvision2022/call-for-papers?authuser=0#h.p_4dSU4WmZn5Ub>
 policy.  *More details about the workshop below! *

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*CVPR 2022 Workshop on Continual Learning (3rd Edition)*
<https://sites.google.com/view/clvision2022>

The CVPR 2022 Workshop on Continual Learning (CLVision, 3rd Edition) aims
to gather researchers and engineers from academia and industry to discuss
the latest advances in Continual Learning. In this one-day workshop, we
will have regular paper presentations, invited speakers, and technical
benchmark challenges to present the current state of the art, as well as
the limitations and future directions for Continual Learning, arguably one
of the most crucial milestones of AI.

We invite Continual Learning contributions of any kind, not necessarily
related to Computer Vision. Join one of the largest gatherings of Continual
Learning in the world (last year we had more than 600 unique attendees)!

*How to participate?*

   1. Apply a continual learning related paper (short, non-archival or
   full-length).
   2. Submit to our well-tailored challenge tracks.
   3. Save the date and join the workshop! (June 20th 2022)

*Important Dates (call for papers)*

   - Workshop paper submission deadline: *March 21th 2022* (11:59 pm
   Pacific Time)
   - Notification to authors: April 10th 2022
   - Camera-ready deadline: April 20th 2022
   - Workshop date: June 20th 2022

*Invited Speakers*

   - Bing Liu (University of Chicago)
   - Irina Higgins (Google DeepMind)
   - Sebastian Risi (University of Copenhagen)
   - Zeynep Akata (University of Tübingen)
   - Tyler Hayes (RochesterIT)
   - Siddharth Swaroop (Cambridge)

*General Chairs*

   - Matthias De Lange (KU Leuven)
   - Vincenzo Lomonaco (University of Pisa & ContinualAI)
   - Pau Rodriguez (Element AI)
   - David Vazquez (Element AI)
   - Antonio Carta (University of Pisa)
   - Gido Van de Ven (Baylor College of Medicine)
   - Dhireesha Kudithipudi (UTSA)
   - Irina Rish (MILA)
   - Tinne Tuytelaars (KU Leuven)


*Challenge Description*
For this workshop, Meta will release a novel dataset featuring short video
sessions taken from an egocentric point of view. The annotation level will
allow us to define 3 tracks in which you can participate: a more “classic”
classification track, and two new detection tracks. Besides making
detection in CL more accessible, very generous prizes will be awarded to
the best solutions! Will you be the first to define the state-of-the art on
this new benchmark?
The latest info about the challenge is available at the official workshop
website: 3rd CLVISION CVPR Workshop - Challenge
<https://sites.google.com/view/clvision2022/challenge?authuser=0>

*Important Dates (challenge)*
(Subject to change, check the official website)

   - Beginning of the pre-selection phase (release of 'demo track' data and
   baselines): 7 March 2022
   - Opening of submission tracks: Later in March 2022 (see website for
   updates)
   - Pre-selection phase ends: 29 May 2022
   - Final ranking will be disclosed in the workshop: June 2022

*Challenge Chairs*

   - Lorenzo Pellegrini (University of Bologna)
   - Zhicheng Yan (Meta)
   - Chenchen Zhu (Meta)


Check out the Official Website <https://sites.google.com/view/clvision2022>,
for more details and contact us for any question!

Kind regards,

Vincenzo Lomonaco,
and the CLVision board

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