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.

中文翻译：

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人类和机器感知的双联画

我们提出了视觉创作，将算法和人类\ emph {感知} 的差异置于透视中。我们利用神经网络的显着图和人类的视觉焦点来创建双联画，这些双联画是根据机器和人类的注意力对原始图像的重新解释。使用这些双联画作为感知的定性评估，我们讨论了当前 \textit{task-oriented} 人工智能的一些关键问题。