Part-Based R-CNNs for Fine-Grained Category Detection

Keywords

CategorizationComputer scienceMinimum bounding boxBounding overwatchArtificial intelligenceConvolutional neural networkRepresentation (politics)Object detectionObject (grammar)Pattern recognition (psychology)Image (mathematics)

Affiliated Institutions

University of California, Berkeley US

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Publication Info

Year: 2014
Type: book-chapter
Pages: 834-849
Citations: 1149
Access: Closed

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APA Style

                            
                                    Ning Zhang, 
                                
                                    Jeff Donahue, 
                                
                                    Ross Girshick
                                
                                et al.
                            
                            (2014). 
                            Part-Based R-CNNs for Fine-Grained Category Detection. 
                            Lecture notes in computer science
                            
                            , 834-849.
                            https://doi.org/10.1007/978-3-319-10590-1_54

Identifiers

DOI: 10.1007/978-3-319-10590-1_54