Predicting ground-level scene layout from aerial imagery

Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017

Volumn 2017-January, Issue , 2017, Pages 4132-4140

  Zhai, Menghua ^a   Bessinger, Zachary ^a   Workman, Scott ^a   Jacobs, Nathan ^a  

^a UNIVERSITY OF KENTUCKY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AERIAL PHOTOGRAPHY; COMPUTER VISION; IMAGE SEGMENTATION; NETWORK ARCHITECTURE; NEURAL NETWORKS; SEMANTICS;

ADAPTIVE TRANSFORMATIONS; AERIAL IMAGERY; CONVOLUTIONAL NEURAL NETWORK; LEARNING APPROACH; NOVEL STRATEGIES; SEMANTIC FEATURES; SEMANTIC LABELING; SEMANTIC SEGMENTATION;

ANTENNAS;

EID: 85041911320     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2017.440     Document Type: Conference Paper

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