Diptychs of human and machine perceptions

We propose visual creations that put differences in algorithms and humans 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 textittask-oriented artificial intelligence.