49 citations · 59 across the 5 of their papers we have counts for
3 papers · 1 filter
Do Neural Networks for Segmentation Understand Insideness?
Kimberly Villalobos, Vilim Štih, Amineh Ahmadinejad +6
The insideness problem is an aspect of image segmentation that consists of determining which pixels are inside and outside a region. Deep Neural Networks (DNNs) excel in segmentati…
Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections
Shobhita Sundaram, Darius Sinha, Matthew Groth +2
Symmetry is omnipresent in nature and perceived by the visual system of many species, as it facilitates detecting ecologically important classes of objects in our environment. Symm…
Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images
Sanjana Srivastava, Guy Ben-Yosef, Xavier Boix
The human ability to recognize objects is impaired when the object is not shown in full. "Minimal images" are the smallest regions of an image that remain recognizable for humans.…