Workshop on Continual Learning in Computer Vision
14th June 2020 | Seattle, USA (Virtual)
2021 edition: https://sites.google.com/view/clvision2021
Youtube playlist: https://www.youtube.com/playlist?list=PLm6QXeaB-XkAvn2FEDLGV5U9tzJYHaQUw
The CVPR 2020 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 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 computer vision in continual learning, arguably one of the most crucial milestones of computer vision and AI in general.
We solicit paper submissions on novel methods and application scenarios of continual learning. We accept papers on a variety of topics, including liefelong learning, few-shot learning, metalearning, incremental learning, online learning, multitask learning, etc.. Papers will be peer reviewed under double-blind policy and the submission deadline is March 20th 2020. Accepted papers will be presented at the poster session, some as orals and one paper will be awarded as the best paper.
Submit your paper on CMT
There is currently a challenge track programmed.