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Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks

Overview of attention for article published in this source, June 2018
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Article details
Title
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
Published by
Institute of Electrical and Electronics Engineers (IEEE), June 2018
DOI 10.1109/cvpr.2018.00238
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 336 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 336 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 58 17%
Student > Ph. D. Student 50 15%
Researcher 29 9%
Student > Bachelor 23 7%
Other 9 3%
Other 31 9%
Unknown 136 40%
Readers by discipline
Readers by discipline Count As %
Computer Science 149 44%
Engineering 31 9%
Medicine and Dentistry 5 1%
Mathematics 4 1%
Economics, Econometrics and Finance 2 <1%
Other 6 2%
Unknown 139 41%