• Corpus ID: 195750604

A multi-task U-net for segmentation with lazy labels

@article{Ke2019AMU,
  title={A multi-task U-net for segmentation with lazy labels},
  author={Rihuan Ke and Aur{\'e}lie Bugeau and Nicolas Papadakis and Peter Sch{\"u}tz and Carola-Bibiane Sch{\"o}nlieb},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.12177}
}
The need for labour intensive pixel-wise annotation is a major limitation of many fully supervised learning methods for image segmentation. [...] Key Method Image segmentation is then stratified into three connected tasks: rough detection of class instances, separation of wrongly connected objects without a clear boundary, and pixel-wise segmentation to find the accurate boundaries of each object.Expand
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