Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 1201-1210

  Cho, Minsu ^a,c   Kwak, Suha ^a,c   Schmid, Cordelia ^a,c   Ponce, Jean ^b,d  

^a INRIA   (France)

^b PSL RESEARCH UNIVERSITY   (France)

^c CNRS   (France)

^d INRIA RHÔNE ALPES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FEATURE EXTRACTION; HOUGH TRANSFORMS;

CO SEGMENTATIONS; EXPERIMENTAL EVALUATION; LOCALIZATION PROBLEMS; MULTIPLE OBJECTS; SPATIAL CONSISTENCY; STATE OF THE ART; SUPERVISED LOCALIZATION; UNSUPERVISED OBJECT DISCOVERIES;

PATTERN RECOGNITION;

EID: 84959186112     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298724     Document Type: Conference Paper

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