RethNet: Object-by-Object Learning for Detecting Facial Skin Problems

@article{Bekmirzaev2019RethNetOL,
  title={RethNet: Object-by-Object Learning for Detecting Facial Skin Problems},
  author={Shohrukh Bekmirzaev and Seoyoung Oh and Sangwook Yoo},
  journal={2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)},
  year={2019},
  pages={425-433}
}
Semantic segmentation is a hot topic in computer vision where the most challenging tasks of object detection and recognition have been handling by the success of semantic segmentation approaches. We propose a concept of objectby-object learning technique to detect 11 types of facial skin lesions using semantic segmentation methods. Detecting individual skin lesion in a dense group is a challenging task, because of ambiguities in the appearance of the visual data. We observe that there exist co… 

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