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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3224952
Abstract: We propose a lightweight and accurate method for detecting anomalies in videos. Existing methods used multiple-instance learning (MIL) to determine the normal/abnormal status of each segment of the video. Recent successful researches argue that it…
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Keywords:
video anomaly;
accuracy;
detection;
world video ... See more keywords