Conference item
SimCS: simulation for domain incremental online continual segmentation
- Abstract:
-
Continual Learning is a step towards lifelong intelligence where models continuously learn from recently collected data without forgetting previous knowledge. Existing continual learning approaches mostly focus on image classification in the class-incremental setup with clear task boundaries and unlimited computational budget. This work explores the problem of Online Domain-Incremental Continual Segmentation (ODICS), where the model is continually trained over batches of densely labeled image...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 14.0MB, Terms of use)
-
- Publisher copy:
- 10.1609/aaai.v38i10.28952
Authors
Bibliographic Details
- Publisher:
- Association for the Advancement of Artificial Intelligence
- Host title:
- Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024)
- Volume:
- 38
- Issue:
- 10
- Pages:
- 10795-10803
- Publication date:
- 2024-03-24
- Event title:
- 38th AAAI Conference on Artificial Intelligence (AAAI 2024)
- Event location:
- Vancouver, Canada
- Event website:
- https://aaai.org/aaai-conference/
- Event start date:
- 2024-02-20
- Event end date:
- 2024-02-27
- DOI:
- EISSN:
-
2374-3468
- ISSN:
-
2159-5399
Item Description
- Language:
-
English
- Keywords:
- Pubs id:
-
1991077
- Local pid:
-
pubs:1991077
- Deposit date:
-
2024-05-30
Terms of use
- Copyright holder:
- Association for the Advancement of Artifcial Intelligence
- Copyright date:
- 2024
- Rights statement:
- © 2024, Association for the Advancement of Artifcial Intelligence (www.aaai.org). All rights reserved.
- Notes:
- This paper was presented at the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), 20th-27th February 2024, Vancouver, Canada. This is the accepted manuscript version of the article. The final version is available online from Association for the Advancement of Artificial Intelligence at: https://dx.doi.org/10.1609/aaai.v38i10.28952
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