Introduction

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)!

For the next edition see: https://sites.google.com/view/clvision2023

For the previous edition see: https://sites.google.com/view/clvision2021

“This year, June 19 and 20 marks Juneteenth, a US holiday commemorating the end of slavery in the US, and a holiday of special significance in the US South. We encourage attendees to learn more about Juneteenth and its historical context, and to join the city of New Orleans in celebrating the Juneteenth holiday. You can find out more information about Juneteenth here: https://cvpr2022.thecvf.com/recognizing-juneteenth”

Invited Speakers

Prizes

Thanks to our amazing sponsors, those brave enough to submit a paper or participate in our Continual Learning challenge can be awarded exquisite prizes!

Besides the best paper award, all of the challenge tracks have thrilling prizes provided by our sponsors, and on top of that, the overall challenge winner will be generously awarded as well! The prizes will be announced in the closing remarks of the workshop. So... are you ready for the wall of fame?

Summary of Prizes*: [The exact amount may be subject to changes since we are still defining them.]

• Challenge: $10.000 divided among the challenge tracks.

• Best Paper Awards:

  • $1000 (sponsored by ServiceNow*)

  • $500 (sponsored by MATRIX)

  • 1 GPU (sponsored by NVIDIA)

*Only Ph.D. students are eligible to participate. Government officials, public sector officials, and employees of entities who do business in the Public Sector are not eligible to participate. ServiceNow reserves the right not to make the award if the recipient turns out to be a government official, public sector official, or individual who does business in the public sector

Participation in the workshop

Paper Submission

We solicit paper submissions on novel methods and application scenarios 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 9 March. Accepted papers will be presented at the poster session, some as orals and one paper will be awarded as the best paper.

Challenge Track

There is currently a challenge track programmed. Check it out!

Contact

contvisionworkshop@gmail.com

Sponsors