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http://arxiv.org/pdf/1606.0347...
Article
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arXiv.org e-Print Archive
Preprint . 2016
Data sources: arXiv.org e-Print Archive
https://doi.org/10.1109/fg.201...
Article . 2017 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2016
License: arXiv Non-Exclusive Distribution
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DBLP
Article . 2016
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DBLP
Conference object
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https://dx.doi.org/10.1109/fg....
Article
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Face Detection with the Faster R-CNN

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object 01 May 2017Embargo end date: 01 Jan 2016Publisher:IEEEJournal:2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)
Authors: Huaizu Jiang; Erik G. Learned-Miller;

doi: 10.1109/fg.2017.82 , 10.48550/arxiv.1606.03473

arXiv: 1606.03473

Face Detection with the Faster R-CNN

Abstract

The Faster R-CNN has recently demonstrated impressive results on various object detection benchmarks. By training a Faster R-CNN model on the large scale WIDER face dataset, we report state-of-the-art results on two widely used face detection benchmarks, FDDB and the recently released IJB-A.

technical report

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Keywords

FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 472
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 0.1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
472
Top 0.1%
Top 0.1%
Top 0.1%
Green