Abstract: Edge-assisted video analytics frameworks, which offload vision-based tasks to edge servers, offer a promising approach to enhance accuracy while minimizing network resource overhead. However ...
Abstract: Existing unsupervised video anomaly detection methods based on prediction typically employ a memory module to limit the generalization ability of the network so that normal frames can be ...
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