A zero-initialized attention adapter placed in SAM's mask decoder matches full fine-tuning on medical segmentation and improves cross-domain generalization with under 1% trainable parameters.
Domain adaptation for med- ical image segmentation using transformation-invariant self- training
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SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation
A zero-initialized attention adapter placed in SAM's mask decoder matches full fine-tuning on medical segmentation and improves cross-domain generalization with under 1% trainable parameters.