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Do Neural Networks for Segmentation Understand Insideness?
(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
(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. ...