Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation

In the field of earth observation (EO), continual learning (CL) algorithms have been proposed to deal with large datasets by decomposing them into several subsets and processing them incrementally. The majority of these algorithms assume that data are, first, coming from a single source, and second,...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Valerio Marsocci, Simone Scardapane
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Continual learning (CL) remote sensing self-supervised learning (SSL) semantic segmentation
Online Access:	https://ieeexplore.ieee.org/document/10135093/