There are effective approaches for 2D segmentation, yet 3D cell segmentation remains a critical bottleneck due to diverse cell morphologies, low signal-to-noise ratios, and data scarcity. We introduce ...
Few-shot semantic segmentation has long been one of the most stubborn problems in computer vision: how can a machine learn to outline an object it has essentially never seen before, guided by nothing ...
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