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 will be 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 5th edition of the CLVision workshop will take place on June 18th at CVPR 2024 in Seattle, USA. All invited talks, oral presentations and the panel discussion will take place in meeting room Summit 325 of the Seattle Convention Center. The poster sessions will be in the Arch Building Exhibit Hall, our workshop has poster boards #244 - #278. The coffee breaks are served in Arch 4E, and the lunch in ExHall 1-2.

The invited talks and oral presentations will be livestreamed on Zoom. The Zoom link can be found on the workshop's page on the CVPR virtual conference site (requires CVPR registration): https://cvpr.thecvf.com/virtual/2024/workshop/23590

The video of the workshop has been made available here: https://www.youtube.com/watch?v=fQ_HZu-8eMI

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 previous edition, see: https://sites.google.com/view/clvision2023 

Invited Speakers

Participation

Attendance

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, a link will be provided with a virtual registration for CVPR (or an in-person registration). Poster presentations will be in-person only.

Paper Submission

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 is March 5th 2024. 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. 

Challenge Track

The pre-selection phase has started on February 20th 2024 and will run until May 6th 2024. Check out more details on the Challenge website!

Contact

clvision2024 AT gmail DOT com