A prompt-free dual-adapter fine-tuning method for SAM2 achieves up to 19.66% better accuracy on biomedical datasets and 87% lower compute than heavy medical SAM adaptations.
Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: Is the problem solved?,
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Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters
A prompt-free dual-adapter fine-tuning method for SAM2 achieves up to 19.66% better accuracy on biomedical datasets and 87% lower compute than heavy medical SAM adaptations.