Maria V. Ortiz Segovia

Webly Supervised Semantic Segmentation

We propose a weakly supervised semantic segmentation algorithm that uses image tags for supervision. We apply the tags in queries to collect three sets of web images, which encode the clean foregrounds, the common back- grounds, and realistic scenes of the classes. We introduce a novel three-stage t…