Web: http://arxiv.org/abs/2201.10664

Jan. 27, 2022, 2:10 a.m. | Kimberly Villalobos, Vilim Štih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, Xavier

cs.LG updates on arXiv.org arxiv.org

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 segmentation benchmarks, but it is unclear if they have the
ability to solve the insideness problem as it requires evaluating long-range
spatial dependencies. In this paper, the insideness problem is analysed in
isolation, without texture or semantic cues, such that other aspects of
segmentation do not interfere in the analysis. We demonstrate that …

arxiv cv networks neural neural networks segmentation

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