license: mit
language:
- en
pipeline_tag: image-segmentation
tags:
- image-segmentation
- remote-sensing
PC-SAM: Patch-Constrained Fine-Grained Interactive Road Segmentation in High-Resolution Remote Sensing Images
PC-SAM is a fine-grained interactive road segmentation model for high-resolution remote sensing images, it supports both automatic road segmentation and interactive segmentation refinement. By using point prompts, users can correct segmentation errors locally and obtain more accurate road segmentation masks.
Model Details
Model Description
- License: MIT
- Finetuned from model: SAM
Model Sources
- Repository: PC-SAM Github
- Paper: PC-SAM: Patch-Constrained Fine-Grained Interactive Road Segmentation in High-Resolution Remote Sensing Images
Uses/How to Get Started with the Model
Please refer to the GitHub page of PC-SAM.
Citation
@misc{lv2026pcsampatchconstrainedfinegrainedinteractive, title={PC-SAM: Patch-Constrained Fine-Grained Interactive Road Segmentation in High-Resolution Remote Sensing Images}, author={Chengcheng Lv and Rushi Li and Mincheng Wu and Xiufang Shi and Zhenyu Wen and Shibo He}, year={2026}, eprint={2604.00495}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2604.00495}, }