Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs
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DOI: 10.48550/arxiv.2208.12428
Abstract: Despite the tremendous progress made by deep learning models in image semantic segmentation, they typically require large annotated examples, and increasing attention is being diverted to problem settings like Few-Shot Learning (FSL) where only a… read more here.
Keywords: neural odes; segmentation; organ segmentation; robust prototypical ... See more keywords