Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation

Deep learning models are known to suffer from the problem of catastrophic forgetting when they incrementally learn new classes. Continual learning for semantic segmentation (CSS) is an emerging field in computer vision. We identify a problem in CSS: A model tends to be confused between old and new c...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 16845 - 16854
Main Authors:	Phan, Minh Hieu, Ta, The-Anh, Phung, Son Lam, Tran-Thanh, Long, Bouzerdoum, Abdesselam
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2022
Subjects:	Computational modeling Computer vision Deep learning grouping and shape analysis; Vision applications and systems Machine vision Representation learning Scene analysis and understanding; Computer vision theory; Deep learning architectures and techniques; Efficient learning and inferences; Representation learning; Segmentation Semantics Shape
ISSN:	1063-6919
Online Access:	Get full text
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