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Kyushu University
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Schrödinger Bridges offer a surprisingly effective and robust alternative to standard pipelines for cell instance segmentation, even without relying on SAM or extensive post-processing.
Forget aligning features – aligning *rankings* of samples across domains unlocks better severity classification in medical imaging when labels are scarce.
Class-imbalanced semi-supervised learning gets a boost from Proportion Loss, a simple regularization term that aligns model predictions with the global class distribution, outperforming existing methods on Long-tailed CIFAR-10.
