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    • Constrained-CNN losses for weakly supervised segmentation 

      Kervadec, Hoel; Dolz, Jose; Tang, Meng; Granger, Eric; Boykov, Yuri; Ben Ayed, Ismail (Elsevier, 2019-05)
      Weakly-supervised learning based on, e.g., partially labelled images or image-tags, is currently attracting significant attention in CNN segmentation as it can mitigate the need for full and laborious pixel/voxel annotations. ...
    • Optimization for Image Segmentation 

      Tang, Meng (University of Waterloo, 2019-06-26)
      Image segmentation, i.e., assigning each pixel a discrete label, is an essential task in computer vision with lots of applications. Major techniques for segmentation include for example Markov Random Field (MRF), Kernel ...


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