Skin_Hair Dataset: Setting the Benchmark for Effective Hair Inpainting Methods for Improving the Image Quality of Dermoscopic Images

Joanna Jaworek-Korjakowska, Anna Wójcicka, Dariusz Kucharski, Andrzej Brodzicki, Connah Kendrick, Bill Cassidy, Moi Hoon Yap

ECCVW 2022 pp. 167-184

doi:10.1007/978-3-031-25069-9_12 /eccvw/2022/jaworekkorjakowska2022eccvw-skin/

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Cite

Text

Jaworek-Korjakowska et al. "Skin_Hair Dataset: Setting the Benchmark for Effective Hair Inpainting Methods for Improving the Image Quality of Dermoscopic Images." European Conference on Computer Vision Workshops, 2022. doi:10.1007/978-3-031-25069-9_12

Markdown

[Jaworek-Korjakowska et al. "Skin_Hair Dataset: Setting the Benchmark for Effective Hair Inpainting Methods for Improving the Image Quality of Dermoscopic Images." European Conference on Computer Vision Workshops, 2022.](https://mlanthology.org/eccvw/2022/jaworekkorjakowska2022eccvw-skin/) doi:10.1007/978-3-031-25069-9_12

BibTeX

@inproceedings{jaworekkorjakowska2022eccvw-skin,
  title     = {{Skin_Hair Dataset: Setting the Benchmark for Effective Hair Inpainting Methods for Improving the Image Quality of Dermoscopic Images}},
  author    = {Jaworek-Korjakowska, Joanna and Wójcicka, Anna and Kucharski, Dariusz and Brodzicki, Andrzej and Kendrick, Connah and Cassidy, Bill and Yap, Moi Hoon},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2022},
  pages     = {167-184},
  doi       = {10.1007/978-3-031-25069-9_12},
  url       = {https://mlanthology.org/eccvw/2022/jaworekkorjakowska2022eccvw-skin/}
}