ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation

@article{Lin2016ScribbleSupSC,
  title={ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation},
  author={Di Lin and Jifeng Dai and Jiaya Jia and Kaiming He and Jian Sun},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={3159-3167}
}
Large-scale data is of crucial importance for learning semantic segmentation models, but annotating per-pixel masks is a tedious and inefficient procedure. We note that for the topic of interactive image segmentation, scribbles are very widely used in academic research and commercial software, and are recognized as one of the most userfriendly ways of interacting. In this paper, we propose to use scribbles to annotate images, and develop an algorithm to train convolutional networks for semantic… CONTINUE READING
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