Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation
Author:
Affiliation:
1. Department of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, Rome, Italy
2. Department of Information Engineering, Electronics and Telecommunication, Sapienza University of Rome, Rome, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10135093.pdf?arnumber=10135093
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4. A survey on masked autoencoder for self-supervised learning in vision and beyond;zhang,2022
5. GFM: Building geospatial foundation models via continual pretraining;mendieta,2023
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