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Future frame prediction based on generative assistant discriminative network for anomaly detection.

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Bibliographic Details
Title: Future frame prediction based on generative assistant discriminative network for anomaly detection.
Authors: Li, Chaobo1, Li, Hongjun1,2, lihongjun@ntu.edu.cn, Zhang, Guoan1
Source: Applied Intelligence; Jan2023, Vol. 53 Issue 1, p542-559, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 161102604
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Future frame prediction based on generative assistant discriminative network for anomaly detection.
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  Data: <searchLink fieldCode="AU" term="%22Li%2C+Chaobo%22">Li, Chaobo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Hongjun%22">Li, Hongjun</searchLink><relatesTo>1,2</relatesTo>, <i>lihongjun@ntu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Guoan%22">Zhang, Guoan</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Intelligence%22">Applied Intelligence</searchLink>; Jan2023, Vol. 53 Issue 1, p542-559, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161102604
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      – Type: doi
        Value: 10.1007/s10489-022-03488-2
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 542
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      – TitleFull: Future frame prediction based on generative assistant discriminative network for anomaly detection.
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            NameFull: Li, Chaobo
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            NameFull: Li, Hongjun
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            NameFull: Zhang, Guoan
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            – D: 01
              M: 01
              Text: Jan2023
              Type: published
              Y: 2023
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