Corpus ID: 226278391

Self Supervised Learning for Object Localisation in 3D Tomographic Images

@article{Zharov2020SelfSL,
  title={Self Supervised Learning for Object Localisation in 3D Tomographic Images},
  author={Yaroslav Zharov and Alexey Ershov and Tilo Baumbach},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.03353}
}
While a lot of work is dedicated to self-supervised learning, most of it is dealing with 2D images of natural scenes and objects. In this paper, we focus on \textit{volumetric} images obtained by means of the X-Ray Computed Tomography (CT). We describe two pretext training tasks which are designed taking into account the specific properties of volumetric data. We propose two ways to transfer a trained network to the downstream task of object localization with a zero amount of manual markup… Expand

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