Unsupervised Domain Adaptation for Cloud Detection Based on Grouped Features Alignment and Entropy Minimization
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DOI: 10.1109/tgrs.2021.3067513
Abstract: Most convolutional neural network (CNN)-based cloud detection methods are built upon the supervised learning framework that requires a large number of pixel-level labels. However, it is expensive and time-consuming to manually annotate pixelwise labels for… read more here.
Keywords: domain adaptation; grouped features; domain; cloud detection ... See more keywords