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1 Ergebnisse
1
Learning Causality-inspired Representation Consistency for ..:
, In:
Proceedings of the 31st ACM International Conference on Multimedia
,
Liu, Yang
;
Xia, Zhaoyang
;
Zhao, Mengyang
... - p. 203-212 , 2023
Link:
https://dl.acm.org/doi/10.1145/3581783.3612393
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Multimedia</cTitle>: T1 <Title>Learning Causality-inspired Representation Consistency for Video Anomaly Detection</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3612393&Exemplar=1&LAN=DE A1 Liu, Yang A1 Xia, Zhaoyang A1 Zhao, Mengyang A1 Wei, Donglai A1 Wang, Yuzheng A1 Liu, Siao A1 Ju, Bobo A1 Fang, Gaoyun A1 Liu, Jing A1 Song, Liang PB ACM YR 2023 K1 causal representation learning K1 deep clustering K1 normality learning K1 unsupervised learning K1 video anomaly detection K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks K1 Scene anomaly detection K1 Computer vision representations K1 Appearance and texture representations K1 Activity recognition and understanding SP 203 OP 212 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3581783.3612393 DO https://dl.acm.org/doi/10.1145/3581783.3612393 SF ELIB - SuUB Bremen
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