[CFP Deadline Extended] Continual Learning Workshop at CVPR 2022
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Vincenzo Lomonaco
Mar 10, 2022, 10:57:41 AM3/10/22
to Continual Learning & AI News
Dear all,
The Call for Paper Deadline of the CVPR 2022 Continual Learning Workshop has been extended to the 21st of March!
Following recent CVPR updates, the workshop will be held in-person but still guaranteeing remote participation! We are looking forward to meet 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 policy. More details about the workshop below!
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CVPR 2022 Workshop on Continual Learning (3rd Edition)
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?
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
Important Dates (challenge)
(Subject to change, check the official website)
Check out the Official Website, for more details and contact us for any question!
Kind regards,
Vincenzo Lomonaco,
and the CLVision board
The Call for Paper Deadline of the CVPR 2022 Continual Learning Workshop has been extended to the 21st of March!
Following recent CVPR updates, the workshop will be held in-person but still guaranteeing remote participation! We are looking forward to meet 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 policy. More details about the workshop below!
----------------------------------------------
CVPR 2022 Workshop on Continual Learning (3rd Edition)
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?
- Apply a continual learning related paper (short, non-archival or full-length).
- Submit to our well-tailored challenge tracks.
- Save the date and join the workshop! (June 20th 2022)
- 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
- 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)
- 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)
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
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
- Lorenzo Pellegrini (University of Bologna)
- Zhicheng Yan (Meta)
- Chenchen Zhu (Meta)
Check out the Official Website, for more details and contact us for any question!
Kind regards,
Vincenzo Lomonaco,
and the CLVision board
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