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| title: SinkSAM Net | |
| emoji: 🌍 | |
| colorFrom: gray | |
| colorTo: yellow | |
| sdk: streamlit | |
| sdk_version: 1.44.1 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Knowledge-Driven Self-Supervised Sinkhole Segmentation | |
| tags: | |
| - object-detection | |
| - segmentation | |
| - remote-sensing | |
| - geoscience | |
| This is a demo is a simplified version of the approach described in the paper, ["SinkSAM: A Monocular Depth-Guided SAM Framework for Automatic Sinkhole Segmentation | |
| "](https://arxiv.org/abs/2410.01473) | |
| ``` | |
| @misc{rafaeli2024sinksammonoculardepthguidedsam, | |
| title={SinkSAM: A Monocular Depth-Guided SAM Framework for Automatic Sinkhole Segmentation}, | |
| author={Osher Rafaeli and Tal Svoray and Ariel Nahlieli}, | |
| year={2024}, | |
| eprint={2410.01473}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CV}, | |
| url={https://arxiv.org/abs/2410.01473}, | |
| } | |
| ``` | |