IEEE - Institute of Electrical and Electronics Engineers, Inc. - Weakly Supervised Object Boundaries

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Author(s): Anna Khoreva ; Rodrigo Benenson ; Mohamed Omran ; Matthias Hein ; Bernt Schiele
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2016
Conference Location: Las Vegas, NV, USA
Conference Date: 27 June 2016
Page(s): 183 - 192
ISBN (Electronic): 978-1-4673-8851-1
ISSN (Electronic): 1063-6919
DOI: 10.1109/CVPR.2016.27
Regular:

State-of-the-art learning based boundary detection methods require extensive training data. Since labelling object boundaries is one of the most expensive types of annotations, there is a need to... View More

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