CVPR Daily - Tuesday

This work aims to incrementally extend a semantic segmentation model with new classes over time without using expensive per pixel annotation . Instead, the model relies on image-level labels, which are cheap and can be found easily online. The goal is to exploit the model to extract the boundaries of the new classes by itself and then learn the new classes with this knowledge and the new annotations. “ We started with two things in mind, ” Dario reveals. Fabio Cermelli (left) and Dario Fontanel (right) are third-year PhD students at Politecnico di Torino in Italy under the supervision of Barbara Caputo. They speak to us ahead of their poster presentation today. Incremental Learning in Semantic Segmentation from Image Labels 12 DAILY CVPR Tuesday Poster Presentation