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[ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati.

Shell 0.27% Python 64.11% Jupyter Notebook 35.62%

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CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks

[arXiv] [Dataset]

Authors: Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati.

Instructions:

Code for each model presented in the paper is available in the individual folders.
Feature generation with DINO is available in the "dino" folder.

Citation

@article{kulkarni2022crackseg9k,
  title={CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks},
  author={Kulkarni, Shreyas and Singh, Shreyas and Balakrishnan, Dhananjay and Sharma, Siddharth and Devunuri, Saipraneeth and Korlapati, Sai Chowdeswara Rao},
  journal={arXiv preprint arXiv:2208.13054},
  year={2022}
}

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