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Object Interaction-Based Localization and Description of Road Accident Events Using Deep Learning., , , , и . IEEE Trans. Intell. Transp. Syst., 23 (11): 20601-20613 (2022)DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network., , , , и . WACV, стр. 5530-5539. IEEE, (2023)A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection., , , , и . Expert Syst. Appl., (2022)PIDLNet: A Physics-Induced Deep Learning Network for Characterization of Crowd Videos., , , и . AVSS, стр. 1-8. IEEE, (2021)Unsupervised Annotation and Detection of Novel Objects Using Known Objectness., , , , и . VISIGRAPP (2): VISAPP, стр. 694-701. SCITEPRESS, (2024)DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network., , , , и . CoRR, (2022)Let's Observe Them Over Time: An Improved Pedestrian Attribute Recognition Approach., , , , и . WACV, стр. 697-706. IEEE, (2024)RareAnom: A Benchmark Video Dataset for Rare Type Anomalies., , , , и . Pattern Recognit., (августа 2023)Detection of Road Accidents Using Synthetically Generated Multi-Perspective Accident Videos., , , , и . IEEE Trans. Intell. Transp. Syst., 24 (2): 1926-1935 (февраля 2023)