Estimation of Number and Locations of Products in Pictures by Semi-Supervised Learning

Abstract

We propose a semi-supervised method for estimating the number and locations of products in pictures. Many existing approaches can estimate objects locations in images by supervised learning which needs images annotated with objects locations. On the other hand, our method needs only numbers of objects in images. The experiment shows effectiveness of our method.