Liam Nakagawa

ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations

We introduce a new method for interpreting computer vision models: visually perceptible, decision-boundary crossing transformations. Our goal is to answer a simple question: why did a model classify an image as being of class A instead of class B? Existing approaches to model interpretation, includi…