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Sequential Person Recognition in Photo Albums with a Recurrent Network
[article]
2016
arXiv
pre-print
Recognizing the identities of people in everyday photos is still a very challenging problem for machine vision, due to non-frontal faces, changes in clothing, location, lighting and similar. Recent studies have shown that rich relational information between people in the same photo can help in recognizing their identities. In this work, we propose to model the relational information between people as a sequence prediction task. At the core of our work is a novel recurrent network architecture,
arXiv:1611.09967v1
fatcat:aidtmunlgrcivoa5qmyu6dhzga