Add dataset card for SALT
#1
by
nielsr
HF Staff
- opened
README.md
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---
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task_categories:
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- image-segmentation
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---
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This repository contains the datasets used in the paper [SALT: Parameter-Efficient Fine-Tuning via Singular Value Adaptation with Low-Rank Transformation](https://huggingface.co/papers/2503.16055)
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SALT is a novel Parameter-Efficient Fine-Tuning (PEFT) method designed to adapt large-scale foundation models—especially Segment Anything Model (SAM)—to domain-specific tasks such as medical image segmentation.
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The following datasets are used:
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- [ROSE](https://huggingface.co/datasets/pythn/ROSE) (Retinal OCT Angiography)
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- [ARCADE](https://huggingface.co/datasets/pythn/ARCADE) (Coronary Artery Segmentation)
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- [DRIVE](https://huggingface.co/datasets/pythn/drive) (Retinal Vessel Segmentation)
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- [DIAS](https://huggingface.co/datasets/pythn/DIAS) (Dynamic Digital Subtraction Angiography)
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- [Xray-Angio](https://huggingface.co/datasets/pythn/DB) (Occluded Vessel Segmentation)
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Code: https://github.com/YourUsername/SALT.git
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