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University of Turku
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Coarse, out-of-date GIS vectors can match dense human annotations when intermediate masks are repurposed as component-wise spatial prompts for targeted local refinement.
Auxiliary gradient-prediction models can drastically reduce stochastic gradient noise, leading to faster convergence and better generalization in deep learning.
