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Achieving state-of-the-art segmentation performance without task-specific fine-tuning, UniMedSeg unifies disparate paradigms into a single scalable model.
Watermarking can now be both robust and imperceptible, overcoming the traditional trade-off that plagues audio embedding techniques.