Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Abstract

CVPR 2017 Poster for "Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups", to be presented at conference

Keywords

Computer scienceConvolutional neural networkFLOPSFloating pointReduction (mathematics)Residual neural networkFilter (signal processing)Tree (set theory)ComputationArtificial intelligenceState (computer science)Pattern recognition (psychology)Parallel computingAlgorithmComputer visionMathematics

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Publication Info

Year: 2017
Type: preprint
Pages: 5977-5986
Citations: 303
Access: Closed

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APA Style

                            
                                    Yani Ioannou, 
                                
                                    Duncan Robertson, 
                                
                                    Roberto Cipolla
                                
                                et al.
                            
                            (2017). 
                            Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups. 
                            
                            , 5977-5986.
                            https://doi.org/10.1109/cvpr.2017.633

Identifiers

DOI: 10.1109/cvpr.2017.633