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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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 16845 - 16854
Hlavní autori:	Phan, Minh Hieu, Ta, The-Anh, Phung, Son Lam, Tran-Thanh, Long, Bouzerdoum, Abdesselam
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2022
Predmet:	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
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