A codebook-free and annotation-free approach for fine-grained image categorization

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

Volumn , Issue , 2012, Pages 3466-3473

  Yao, Bangpeng ^a   Bradski, Gary ^b   Fei Fei, Li ^a  

^a Stanford University   (United States)

^b Industrial Perception Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIRD SPECIES; CLASSIFICATION APPROACH; CODE-WORDS; DATA SETS; HIGH THROUGHPUT; HUMAN ANNOTATIONS; IMAGE CATEGORIZATION; IMAGE INFORMATION; IMAGE REPRESENTATIONS; KEYPOINTS; OBJECT ATTRIBUTES; OBJECT CLASSIFICATION; VISUAL APPEARANCE;

ALGORITHMS; BIRDS; COMPUTER VISION; IMAGING SYSTEMS; TEMPLATE MATCHING;

CLASSIFICATION (OF INFORMATION);

EID: 84866665892     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6248088     Document Type: Conference Paper

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