An efficient approach to semantic segmentation

International Journal of Computer Vision

Volumn 95, Issue 2, 2011, Pages 198-212

  Csurka, Gabriela ^a   Perronnin, Florent ^a  

^a XEROX RESEARCH CENTRE EUROPE   (France)

Author keywords

Fisher kernel; Image segmentation; Object recognition; PASCAL VOC; Pattern recognition

Indexed keywords

APPEARANCE MODELS; BOUNDING BOX; COMPUTATIONAL COSTS; CONFERENCE PAPERS; DATA SETS; DECOUPLED SYSTEM; EXTENDED VERSIONS; FISHER KERNELS; GLOBAL CONSISTENCY; IMAGE CLASSIFIERS; JOINT ESTIMATION; LABELED DATA; LOCAL CONSISTENCY; MODEL PARAMETERS; OBJECT CLASS; PASCAL VOC; PERFORMANCE APPROACH; PRE-DEFINED SEMANTICS; PROBABILISTIC FRAMEWORK; SEMANTIC SEGMENTATION; SIMPLE APPROACH; STATE-OF-THE-ART PERFORMANCE; TEST TIME; THREE COMPONENT; TRAINING TIME;

IMAGE ANALYSIS; LARGE SCALE SYSTEMS; OBJECT RECOGNITION; PIXELS; SEMANTICS;

IMAGE SEGMENTATION;

EID: 80052660275     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-010-0344-8     Document Type: Article

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