Browsing Center for Brains, Minds & Machines by Author "Dozier, Jamell"

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    • Do Neural Networks for Segmentation Understand Insideness? 

      Villalobos, Kimberly; Štih, Vilim; Ahmadinejad, Amineh; Sundaram, Shobhita; Dozier, Jamell; e.a. (Center for Brains, Minds and Machines (CBMM), 2020-04-04)
      The insideness problem is an image segmentation modality that consists of determining which pixels are inside and outside a region. Deep Neural Networks (DNNs) excel in segmentation benchmarks, but it is unclear that they ...

    • On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations 

      Madan, Spandan; Henry, Timothy; Dozier, Jamell; Ho, Helen; Bhandari, Nishchal; e.a. (Center for Brains, Minds and Machines (CBMM), 2020-07-17)
      Recognizing an object’s category and pose lies at the heart of visual understanding. Recent works suggest that deep neural networks (DNNs) often fail to generalize to category-pose combinations not seen during training. ...