Abstract
It is very difficult to evaluate the performance of computer vision algorithms at present. We argue that visual cognition theory can be used to challenge this task. In this paper, we first illustrate why and how to use vision cognition theory to evaluate the performance of computer vision algorithms. Then from the perspective of computer science, we summarize some of important assumptions of visual cognition theory. Finally, some cases are introduced to show effectiveness of our methods.
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