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@inproceedings{bb200556,
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@inproceedings{bb200557,
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@inproceedings{bb200558,
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Fusion",
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@inproceedings{bb200559,
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@inproceedings{bb200560,
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        TITLE = "Unsupervised Anomaly Detection with Local-Sensitive VQVAE and
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@inproceedings{bb200561,
        AUTHOR = "Cui, Y.J. and Liu, Z.X. and Lian, S.",
        TITLE = "Patch-Wise Auto-Encoder for Visual Anomaly Detection",
        BOOKTITLE = ICIP23,
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@inproceedings{bb200562,
        AUTHOR = "Zhao, M.Y. and Song, Y.H.",
        TITLE = "Abnormal-Aware Loss and Full Distillation for Unsupervised Anomaly
Detection Based on Knowledge Distillation",
        BOOKTITLE = ICIP23,
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@inproceedings{bb200563,
        AUTHOR = "Belton, N. and Hagos, M.T. and Lawlor, A. and Curran, K.M.",
        TITLE = "FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks",
        BOOKTITLE = VAND23,
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@inproceedings{bb200564,
        AUTHOR = "Zhang, X. and Li, S.Y. and Li, X. and Huang, P. and Shan, J. and Chen, T.",
        TITLE = "DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly
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@inproceedings{bb200565,
        AUTHOR = "Cho, M. and Kim, M. and Hwang, S. and Park, C. and Lee, K. and Lee, S.Y.",
        TITLE = "Look Around for Anomalies: Weakly-Supervised Anomaly Detection via
Context-Motion Relational Learning",
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        YEAR = "2023",
        PAGES = "12137-12146",
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@inproceedings{bb200566,
        AUTHOR = "Liu, W.R. and Chang, H. and Ma, B.P. and Shan, S.G. and Chen, X.L.",
        TITLE = "Diversity-Measurable Anomaly Detection",
        BOOKTITLE = CVPR23,
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@inproceedings{bb200567,
        AUTHOR = "Gaus, Y.F.A. and Bhowmik, N. and Isaac Medina, B.K.S. and Shum, H.P.H. and Atapour Abarghouei, A. and Breckon, T.P.",
        TITLE = "Region-based Appearance and Flow Characteristics for Anomaly
Detection in Infrared Surveillance Imagery",
        BOOKTITLE = VAND23,
        YEAR = "2023",
        PAGES = "2995-3005",
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@inproceedings{bb200568,
        AUTHOR = "Yao, X.C. and Li, R. and Zhang, J. and Sun, J. and Zhang, C.Y.",
        TITLE = "Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for
Supervised Anomaly Detection",
        BOOKTITLE = CVPR23,
        YEAR = "2023",
        PAGES = "24490-24499",
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@inproceedings{bb200569,
        AUTHOR = "Reiss, T. and Cohen, N. and Horwitz, E. and Abutbul, R. and Hoshen, Y.",
        TITLE = "Anomaly Detection Requires Better Representations",
        BOOKTITLE = SelfLearn22,
        YEAR = "2022",
        PAGES = "56-68",
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@inproceedings{bb200570,
        AUTHOR = "Wu, J.M. and Shu, P.C. and Hong, H.Y. and Li, X.X. and Ma, L. and Zhang, Y.Z. and Zhu, Y. and Wang, L.",
        TITLE = "Unsupervised Encoder-decoder Model for Anomaly Prediction Task",
        BOOKTITLE = MMMod23,
        YEAR = "2023",
        PAGES = "II: 549-561",
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@inproceedings{bb200571,
        AUTHOR = "Ngoc, H.N. and Xuan, N.N. and Bui, T.H. and Hung, D.H. and Truong, S.Q.H. and Hoang, V.",
        TITLE = "An efficient approach for real-time abnormal human behavior
recognition on surveillance cameras",
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@inproceedings{bb200572,
        AUTHOR = "Majhi, S. and Das, S. and Bremond, F. and Dash, R. and Sa, P.K.",
        TITLE = "Weakly-supervised Joint Anomaly Detection and Classification",
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@inproceedings{bb200573,
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        TITLE = "DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly
Detection Network",
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@inproceedings{bb200574,
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        TITLE = "Anomaly Detection via Learnable Pretext Task",
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@inproceedings{bb200575,
        AUTHOR = "Jezequel, L. and Vu, N.S. and Beaudet, J. and Histace, A.",
        TITLE = "Semi-Supervised Anomaly Detection with Contrastive Regularization",
        BOOKTITLE = "ICPR22",
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@inproceedings{bb200576,
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@inproceedings{bb200577,
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Manufacturing",
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        TITLE = "Unsupervised Anomaly Detection with Self-Training and Knowledge
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@inproceedings{bb200579,
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@inproceedings{bb200580,
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@inproceedings{bb200581,
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        TITLE = "Locally Varying Distance Transform for Unsupervised Visual Anomaly
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@inproceedings{bb200582,
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@inproceedings{bb200583,
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@inproceedings{bb200584,
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Autoencoders",
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@inproceedings{bb200585,
        AUTHOR = "Schneider, P. and Rambach, J. and Mirbach, B. and Stricker, D.",
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        BOOKTITLE = PBVS22,
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@inproceedings{bb200586,
        AUTHOR = "Sapkota, H. and Yu, Q.",
        TITLE = "Bayesian Nonparametric Submodular Video Partition for Robust Anomaly
Detection",
        BOOKTITLE = CVPR22,
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@inproceedings{bb200587,
        AUTHOR = "Roth, K. and Pemula, L. and Zepeda, J. and Scholkopf, B. and Brox, T. and Gehler, P.",
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        BOOKTITLE = CVPR22,
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@inproceedings{bb200588,
        AUTHOR = "Ye, K. and Kovashka, A.",
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@inproceedings{bb200589,
        AUTHOR = "Guo, M.Q. and Hwa, R. and Kovashka, A.",
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@inproceedings{bb200590,
        AUTHOR = "Dueholm, J.V. and Nasrollahi, K. and Moeslund, T.B.",
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@inproceedings{bb200591,
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Collaboration",
        BOOKTITLE = CVinHRC21,
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@inproceedings{bb200592,
        AUTHOR = "Jain, Y. and Sharma, A.K. and Velmurugan, R. and Banerjee, B.",
        TITLE = "PoseCVAE: Anomalous Human Activity Detection",
        BOOKTITLE = ICPR21,
        YEAR = "2021",
        PAGES = "2927-2934",
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@inproceedings{bb200593,
        AUTHOR = "Orru, G. and Ghiani, D. and Pintor, M. and Marcialis, G.L. and Roli, F.",
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        BOOKTITLE = ICPR21,
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@inproceedings{bb200594,
        AUTHOR = "Leveni, F. and Magri, L. and Boracchi, G. and Alippi, C.",
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@inproceedings{bb200595,
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@inproceedings{bb200596,
        AUTHOR = "Montulet, R. and Briassouli, A.",
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Abnormal Event Detection",
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@inproceedings{bb200597,
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@inproceedings{bb200598,
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@inproceedings{bb200599,
        AUTHOR = "Ma, T. and Wang, Y. and Shao, J. and Zhang, B. and Doermann, D.",
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