Human vs. Computer in Scene and Object Recognition

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A Study and Comparison of Human and Deep Learning Recognition Performance under Visual Distortions (2017, methodology): “With the confusion matrices we can compute the Pearson correlation coefficient between the errors as in [6].”
iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning (2016, background): “It is important to be aware of human performance to gauge the progress [4].”
Human and DNN Classification Performance on Images With Quality Distortions (2019, background): “Borji and Itti (2014) compare the classification accuracy of the HVS and several vision models but do not consider DNN models.”