Now showing items 1-3 of 3

    • Higher-order Losses and Optimization for Low-level and Deep Segmentation 

      Marin, Dmitrii (University of Waterloo, 2021-12-21)
      Regularized objectives are common in low-level and deep segmentation. Regularization incorporates prior knowledge into objectives or losses. It represents constraints necessary to address ill-posedness, data noise, outliers, ...
    • Occlusion-Ordered Semantic Instance Segmentation 

      Baselizadeh, Soroosh (University of Waterloo, 2023-08-23)
      Conventional semantic ‘instance’ segmentation methods offer a segmentation mask for each object instance in an image along with its semantic class label. These methods excel in distinguishing instances, whether they belong ...
    • 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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