论文标题
人类和机器感知
Diptychs of human and machine perceptions
论文作者
论文摘要
我们提出的视觉创作将算法和人类\ emph {感知}的差异置于透视上。我们利用神经网络的显着性图和人类视觉焦点来创建根据机器和人类注意力重新解释原始图像的二键。使用这些二键作为对感知的定性评估，我们讨论了当前\ textit {以任务为导向的}人工智能的一些关键问题。
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.
