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      "extra_author": "Feiyan Hu",
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      "extra_author": "Alan F. Smeaton",
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      "extra_author": "Alan F. Smeaton",
            
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      "description": "",
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      "description": "",
            
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      "name": "video-anomaly-detection",
            
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      "title": "Video Anomaly Detection"
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      "title": "Video Anomaly Detection"
            
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ideo-anomaly-detection-via-spatio-temporal-pseudo-anomaly-generation",
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ideo-anomaly-detection-via-spatio-temporal-pseudo-anomaly-generation",
            
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  "notes": "Video Anomaly Detection (VAD) is an open-set recognition 
            
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task, which is usually formulated as a one-class classification (OCC) 
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task, which is usually formulated as a one-class classification (OCC) 
            
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problem, where training data is comprised of videos with normal 
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problem, where training data is comprised of videos with normal 
            
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instances while test data contains both normal and anomalous 
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instances while test data contains both normal and anomalous 
            
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  "title": "Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly 
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Generation",
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