Now showing items 1-3 of 3

    • Towards Pixel-Level OOD Detection for Semantic Segmentation 

      Angus, Matt (University of Waterloo, 2019-08-30)
      There exists wide research surrounding the detection of out of distribution sample for image classification. Safety critical applications, such as autonomous driving, would benefit from the ability to localise the unusual ...
    • Volumetric Weak Supervision for Semantic Segmentation 

      Bashar, Sharhad (University of Waterloo, 2022-05-24)
      Semantic segmentation is a popular task in computer vision. Fully supervised methods are data hungry, they require pixel precise annotations for thousands of images. To reduce user annotation efforts, weak supervision for ...
    • Weakly-supervised Semantic Segmentation with Regularized Loss Hyperparameter Search 

      Ji, Zongliang (University of Waterloo, 2021-09-20)
      Weakly supervised segmentation signi cantly reduces user annotation e ort. Recently, regularized loss was proposed for single object class segmentation under image-level weak supervision. Regularized loss consists of ...

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