  We propose visual creations that put differences in algorithms and humans
\emph{perceptions} into perspective. We exploit saliency maps of neural
networks and visual focus of humans to create diptychs that are
reinterpretations of an original image according to both machine and human
attentions. Using those diptychs as a qualitative evaluation of perception, we
discuss some crucial issues of current \textit{task-oriented} artificial
intelligence.
