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A Neural Multi-sequence Alignment TeCHnique (NeuMATCH)

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Preprint 01 Jun 2018Embargo end date: 15 Jun 2018Publisher:IEEEJournal:2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Authors: Dogan, Pelin; Li, Boyang; Sigal, Leonid; Gross, Markus;

doi: 10.1109/cvpr.2018.00912 , 10.3929/ethz-b-000319239 , 10.48550/arxiv.1803.00057

arXiv: http://arxiv.org/abs/1803.00057

handle: 20.500.11850/319239

A Neural Multi-sequence Alignment TeCHnique (NeuMATCH)

Abstract

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computation and Language (cs.CL), Machine Learning (cs.LG)

  • 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).
    		 12
    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
12
Top 10%
Average
Top 10%
Green