Podrobnosti studentského projektu

Seznam
Téma:Learning to segment from object counts
Katedra:Katedra kybernetiky
Vedoucí:prof. Dr. Ing. Jan Kybic
Vypsáno jako:Diplomová práce, Bakalářská práce, Semestrální projekt
Popis: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.
Za obsah zodpovídá: Petr Pošík