Eccentricity dependent deep neural networks: Modeling invariance in human vision
Humans can recognize objects in a way that is invariant to scale, translation, and clutter. We use invariance theory as a conceptual basis, to computationally model this phenomenon. This theory discusses the role of eccentricity in human visual processing, and is a generalization of feedforward conv...
| Main Authors: | , , , , |
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| Format: | Article |
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Association for the Advancement of Artificial Intelligence
2017
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| Online Access: | http://hdl.handle.net/1721.1/112279 https://orcid.org/0000-0002-1909-257X https://orcid.org/0000-0002-7470-0179 https://orcid.org/0000-0002-9255-0151 https://orcid.org/0000-0002-3944-0455 |