Physical Sciences and Mathematics Commons^™

Understanding Classification Decisions For Object Detection, Will Landecker, Michael David Thomure, Melanie Mitchell

Systems Science Friday Noon Seminar Series

Computer vision systems are traditionally tested in the object detection paradigm. In these experiments, a vision system is asked whether or not a specific object--for example an animal--occurs in a given image. A system that often answers correctly is said to be very accurate. In this talk, we will discuss some ambiguity that exists in this measure of accuracy. We will also propose a new measure of object-detection accuracy that addresses some of this ambiguity, and apply this measure to the hierarchical "standard model" of visual cortex.