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SUGFW+ achieves state-of-the-art performance in medical image segmentation by seamlessly integrating sample selection and model training through uncertainty-guided feature weighting.
By rebalancing proposal distributions, this method sets a new benchmark in few-shot object detection, achieving significant performance gains without added latency.
