Computer Vision and Robotics Lab
Computer Vision and Robotics Lab
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Anomaly
Real-Word anomaly detection in Surveillance through Semi-supervised Federated Active Learning
This project shows the deployment and research of semi-supervised deep learning models for the anomaly detection in Surveillance videos deployed on a synchronous Federated Learning architecture for which training is being distributed on many nodes.
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