Geography-Aware Self-Supervised Learning

Kumar Ayush
Kumar Ayush
Chenlin Meng
Chenlin Meng
Cited by: 0|Bibtex|Views3
Other Links: arxiv.org

Abstract:

Contrastive learning methods have significantly narrowed the gap between supervised and unsupervised learning on computer vision tasks. In this paper, we explore their application to remote sensing, where unlabeled data is often abundant but labeled data is scarce. We first show that due to their different characteristics, a non-trivial...More

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