SAGE: An Approach and Implementation Empowering Quick and Reliable Quantitative Analysis of Segmentation Quality

Danna Gurari, Suele Ki Kim, Eugene Yang, Brett Isenberg, Tuan A. Pham, Alberto Purwada, Patricia Solski, Matthew L. Walker, Joyce Y. Wong, Margrit Betke

WACV 2013 pp. 475-481

doi:10.1109/WACV.2013.6475057 /wacv/2013/gurari2013wacv-sage/

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Cite

Text

Gurari et al. "SAGE: An Approach and Implementation Empowering Quick and Reliable Quantitative Analysis of Segmentation Quality." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013. doi:10.1109/WACV.2013.6475057

Markdown

[Gurari et al. "SAGE: An Approach and Implementation Empowering Quick and Reliable Quantitative Analysis of Segmentation Quality." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013.](https://mlanthology.org/wacv/2013/gurari2013wacv-sage/) doi:10.1109/WACV.2013.6475057

BibTeX

@inproceedings{gurari2013wacv-sage,
  title     = {{SAGE: An Approach and Implementation Empowering Quick and Reliable Quantitative Analysis of Segmentation Quality}},
  author    = {Gurari, Danna and Kim, Suele Ki and Yang, Eugene and Isenberg, Brett and Pham, Tuan A. and Purwada, Alberto and Solski, Patricia and Walker, Matthew L. and Wong, Joyce Y. and Betke, Margrit},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2013},
  pages     = {475-481},
  doi       = {10.1109/WACV.2013.6475057},
  url       = {https://mlanthology.org/wacv/2013/gurari2013wacv-sage/}
}