Exploring Context with Deep Structured Models for Semantic Segmentation

We propose an approach for exploiting contextual information in semantic image segmentation, and particularly investigate the use of patch-patch context and patch-background context in deep CNNs. We formulate deep structured models by combining CNNs and Conditional Random Fields (CRFs) for learning...

Description complète

Détails bibliographiques

Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 40(2018), 6 vom: 02. Juni, Seite 1352-1366
Auteur principal:	Lin, Guosheng (Auteur)
Autres auteurs:	Shen, Chunhua, van den Hengel, Anton, Reid, Ian
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