Convolutional Oriented Boundaries : From Image Segmentation to High-Level Tasks

We present Convolutional Oriented Boundaries (COB), which produces multiscale oriented contours and region hierarchies starting from generic image classification Convolutional Neural Networks (CNNs). COB is computationally efficient, because it requires a single CNN forward pass for multi-scale cont...

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Détails bibliographiques

Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 40(2018), 4 vom: 05. Apr., Seite 819-833
Auteur principal:	Maninis, Kevis-Kokitsi (Auteur)
Autres auteurs:	Pont-Tuset, Jordi, Arbelaez, Pablo, Van Gool, Luc
Format:	Article en ligne
Langue:	English
Publié:	2018
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article Research Support, Non-U.S. Gov't