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Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications
2020
IEEE Multimedia
Preserved Fulltext
Therefore, there's a growing demand for developing and designing new multimedia computing methods for urban data analysis and applications, especially in current deep learning and multimedia big data era ...
Recently, benefiting from both the easy availability of urban multimedia big data and the rapid development of deep learning technologies, some novel methods in multimedia computing have emerged as a promising ...
Kankanhalli for giving them the opportunity to organize this special issue. ...
doi:10.1109/mmul.2020.3017877
fatcat:f4tcmeg72bfvdmncou4lsia6cq
A Survey of Deep Facial Attribute Analysis
[article]
2019
arXiv
pre-print
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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Additionally, we introduce the underlying theories of this two-stage pipeline for both FAE and FAM. ...
Facial attribute analysis has received considerable attention when deep learning techniques made remarkable breakthroughs in this field over the past few years. ...
Margin Local Embedding (LMLE) Method for
large-scale imbalanced facial attribute classification
VGG-6 Quintuplet CNN
CelebA(BAcc:84.25%)
Zhong et al. [135](ICIP2016)
Studying the effect of mid-level ...
arXiv:1812.10265v3
fatcat:tezgo2angvfefbttuoodnss6t4