Maximum differentiation (MAD) competition: a methodology for comparing computational models of perceptual quantities.

@article{Wang2008MaximumD,
  title={Maximum differentiation (MAD) competition: a methodology for comparing computational models of perceptual quantities.},
  author={Zhou Wang and Eero P. Simoncelli},
  journal={Journal of vision},
  year={2008},
  volume={8 12},
  pages={8.1-13}
}
We propose an efficient methodology for comparing computational models of a perceptually discriminable quantity. Rather than comparing model responses to subjective responses on a set of pre-selected stimuli, the stimuli are computer-synthesized so as to optimally distinguish the models. Specifically, given two computational models that take a stimulus as an input and predict a perceptually discriminable quantity, we first synthesize a pair of stimuli that maximize/minimize the response of one… CONTINUE READING
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