Recombinator networks: Learning coarse-to-fine feature aggregation

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

Volumn 2016-December, Issue , 2016, Pages 5743-5752

  Honari, Sina ^a   Yosinski, Jason ^b   Vincent, Pascal ^a,d   Pal, Christopher ^c  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b Department of Obstetrics Gynecology   (United States)

^c ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^d CANADIAN INSTITUTE FOR ADVANCED RESEARCH   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER VISION; FORECASTING; IMAGE SEGMENTATION; NETWORK ARCHITECTURE; PIXELS;

DEEP NEURAL NETWORKS; DERIVED FEATURES; IMPROVE PERFORMANCE; LOWER RESOLUTION; PREDICTION MODEL; SPATIAL FEATURES; SPATIAL INFORMATIONS; STATE OF THE ART;

PATTERN RECOGNITION;

EID: 84986243845     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.619     Document Type: Conference Paper

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