Neglected Free Lunch – Learning Image Classifiers Using Annotation Byproducts
Neglected Free Lunch – Learning Image Classifiers Using Annotation Byproducts
Supervised learning of image classifiers distills human knowledge into a parametric model f <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">θ</inf> through pairs of images and corresponding labels $\left\{ {\left( {{X_i},{Y_i}} \right)} \right\}_{i = 1}^N$. We argue that this simple and widely used representation of human knowledge neglects rich auxiliary information from the annotation procedure, …