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Found 3 papers, 1 papers with code
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations
This paper aims to address the unsupervised video anomaly detection (VAD) problem, which involves classifying each frame in a video as normal or abnormal, without any access to labels.
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
This paper investigates the performance of diffusion models for video anomaly detection (VAD) within the most challenging but also the most operational scenario in which the data annotations are not used.
Evaluation Of Hidden Markov Models Using Deep CNN Features In Isolated Sign Recognition
Therefore, our analysis with deep features show that HMMs could also be utilized as well as deep sequence models in challenging isolated sign recognition problem.
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