Detail of the student project

List
Topic:Learning to segment from object counts
Department:Katedra kybernetiky
Supervisor:Prof. Dr. Ing. Jan Kybic
Announce as:DP,BP,PMI,SOP,PRO
Description:The task is to learn to count objects in an image, when the only information available for the training images are the counts. What assumptions are needed to make it possible? We start from simpler cases, e.g. when the segmentation method has a small number of parameters or when pixel-wise annotations are available for at least some of the images and then work towards an efficient and practical method for more difficult cases.
Date:13.05.2019
Responsible person: Petr Pošík