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1 Ergebnisse
1
Multi-modal Representation Learning for Video Advertisement..:
, In:
Proceedings of the 29th ACM International Conference on Multimedia
,
Guo, Daya
;
Zeng, Zhaoyang
- p. 4770-4774 , 2021
Link:
https://dl.acm.org/doi/10.1145/3474085.3479218
RT T1 <cTitle>Proceedings of the 29th ACM International Conference on Multimedia</cTitle>: T1 <Title>Multi-modal Representation Learning for Video Advertisement Content Structuring</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3479218&Exemplar=1&LAN=DE A1 Guo, Daya A1 Zeng, Zhaoyang PB ACM YR 2021 K1 boundary-matching network K1 inception K1 multi-modal representation K1 proposal located classifier K1 transformer K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks K1 Video summarization K1 Scene understanding SP 4770 OP 4774 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3474085.3479218 DO https://dl.acm.org/doi/10.1145/3474085.3479218 SF ELIB - SuUB Bremen
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