Deep adversarial metric learning for cross-modal retrieval
Deep adversarial metric learning for cross-modal retrieval
About this item
Full title
Author / Creator
Xu, Xing , He, Li , Lu, Huimin , Gao, Lianli and Ji, Yanli
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Cross-modal retrieval has become a highlighted research topic, to provide flexible retrieval experience across multimedia data such as image, video, text and audio. The core of existing cross-modal retrieval approaches is to narrow down the gap between different modalities either by finding a maximally correlated embedding space. Recently, research...
Alternative Titles
Full title
Deep adversarial metric learning for cross-modal retrieval
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2021170826
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2021170826
Other Identifiers
ISSN
1386-145X
E-ISSN
1573-1413
DOI
10.1007/s11280-018-0541-x
