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The role of semantic positive pairs in SSL is clarified and guidance for selecting and designing frameworks that can exploit semantic pair information effectively is provided for selecting and designing frameworks that can exploit semantic pair information effectively.
Recent machine learning weather prediction (MLWP) models have demonstrated remarkable forecasting skill on global reanalysis-based benchmarks. However, their performance remains unclear in challenging environments such as Northern Norway, where narrow fjords and rapidly changing weather result in highly variable local...
This is the first work to formalise the balancing-prediction MI conflict and propose a structured resolution through complementary predictive and information-theoretic training objectives.
This work introduces CrevasseSeg, a framework for binary segmentation over the terminus of Borebreen, Svalbard, and releases CrevasseSeg to support label-efficient segmentation research in remote sensing.
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