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Hefei University of Technology
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Achieving up to 12.2% improvement in segmentation accuracy without any model parameter updates could revolutionize how we handle distribution shifts in medical imaging.
The choice of pretraining strategy, not just model complexity, is the key driver of performance in fine-grained semantic segmentation tasks.
