CVPR 2023

Workshop on Continual Learning in Computer Vision

Fourth Edition

18 June 2023  |  Vancouver, Canada

Location: East 2

Workshop's page on the CVPR virtual conference site:  (requires CVPR registration)


The CVPR Workshop on Continual Learning (CLVision) aims to gather researchers and engineers from academia and industry to discuss the latest advances in Continual Learning. In this workshop, there are 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.

The 4th edition of the CLVision workshop will take place at CVPR 2023 in Vancouver, Canada.

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!

For the next edition see: 

For the previous edition see: 


A more detailed schedule can be found under the tab "Program". All times are local time (PDT).

Invited Speakers 

Xiaopeng Hong

Harbin Institute of Technology, China

Zsolt Kira

Georgia Institute of Technology, USA

Adel Bibi

University of Oxford, UK

Diane Larlus

Naver Labs, France

Arslan Chaudhry

DeepMind Mountain View, USA

Lucas Caccia

MILA & Mc`Gill University, Canada

Participation in the Workshop


Attend the workshop in person for an exciting line up of talks, poster presentations and a panel discussion. An in-person registration for CVPR is required for this. For those attending virtually, the talks can be streamed through a Zoom link (which can be found here). For this, you need a virtual registration for CVPR (or an in-person registration). Poster presentations will be in-person only.

We solicit submissions of papers that study the problem of continual learning. We accept papers on a variety of topics, including lifelong learning, few-shot learning, meta learning, incremental learning, online learning, multitask learning, etc. Papers will be peer reviewed under double-blind policy and the submission deadline was 13 March 2023. There is an archival track (with accepted papers published in the proceedings) and a non-archival track (which allows dual submissions). All accepted papers will be presented in poster sessions, with some selected for oral presentations. 

The deadline to submit solutions to the pre-selection phase of the challenge track was 20 May 2023.