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An efficient anomaly recognition framework using an attention residual lstm in surveillance videos

  • W. Ullah
  • , A. Ullah
  • , T. Hussain
  • , Z.A. Khan
  • , S.W. Baik
  • Sejong University

Research output: Contribution to journal › Article (journal) › peer-review

175   Link opens in a new tab Citations (Scopus)

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Computer Science