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. 2014 Jul 18;8:74. doi: 10.3389/fncom.2014.00074

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Copyright © 2014 Ghodrati, Farzmahdi, Rajaei, Ebrahimpour and Khaligh-Razavi.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Confusion matrices for the multiclass invariant object categorization task with plain background. Each color-coded matrix shows the performance of a model in categorizing different object categories, as specified in the first matrix at the top-left corner. Matrices in each column show confusion matrices for a particular level of variation (from 0 to 6) and each row shows confusion matrices for one model (model name is written at the right end of each row). The first row illustrates the performance of humans in psychophysical experiments. The color bar at the top-right color codes the percentage of the subject responses (labels) assigned to each category. The chance level is specified with a dashed line on the color bar.