Atoms of recognition in human and computer vision
Discovering the visual features and representations used by the brain to recognize objects is a central problem in the study of vision. Recently, neural network models of visual object recognition, including biological and deep network models, have shown remarkable progress and have begun to rival h...
Main Authors: | Ullman, Shimon, Assif, Liav, Fetaya, Ethan, Harari, Daniel |
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Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | en_US |
Published: |
National Academy of Sciences (U.S.)
2017
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Online Access: | http://hdl.handle.net/1721.1/106502 https://orcid.org/0000-0003-4331-298X https://orcid.org/0000-0003-4745-9292 |
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