Abstract: We propose a semi-supervised ordinal classification method based on ranking consistency regularization, addressing limitations in capturing ordinal relationships and mitigating semantic ...
Abstract: To address low-quality pseudo-labels and class imbalance in semi-supervised remote sensing scene classification, this letter proposes a novel dynamic adaptive reweighting and pseudo-labeling ...
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