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CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection.

, , , and . CoRR, (2020)

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A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection., , , and . CoRR, (2023)CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection., , , and . CoRR, (2020)Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies., , and . UR, page 248-251. IEEE, (2022)SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers., , , and . CVPR Workshops, page 3264-3274. Computer Vision Foundation / IEEE, (2020)Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection., , , , and . CoRR, (2021)4G-VOS: Video Object Segmentation using guided context embedding., , , , and . Knowl. Based Syst., (2021)Single-branch Network for Multimodal Training., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm., , , and . CVPR, page 14171-14181. Computer Vision Foundation / IEEE, (2020)Face Pyramid Vision Transformer., , and . BMVC, page 758. BMVA Press, (2022)Fingerprint pattern classification using deep transfer learning and data augmentation., , , and . Vis. Comput., 39 (4): 1703-1716 (April 2023)