COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model

Research article (Virtual Reality & Intelligent Hardware, 2023) · cited 40× · AI/ML
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COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model

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COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model. Retrieved May 24, 2026, from https://4ort.xyz/entity/covad-content-oriented-video-anomaly-detection-using-a-self-attention-based-deep-learning-model
MLA “COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/covad-content-oriented-video-anomaly-detection-using-a-self-attention-based-deep-learning-model.
BibTeX @misc{4ortxyz_covad-content-oriented-video-anomaly-detection-using-a-self-attention-based-deep-learning-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model}}, year = {2026}, url = {https://4ort.xyz/entity/covad-content-oriented-video-anomaly-detection-using-a-self-attention-based-deep-learning-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model — https://4ort.xyz/entity/covad-content-oriented-video-anomaly-detection-using-a-self-attention-based-deep-learning-model (retrieved 2026-05-24)

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