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GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

, , и . CoRR, (2018)

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Samet Sözeri

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Другие публикации лиц с тем же именем

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training, , и . (2018)A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items., , , , и . IEEE Trans. Syst. Man Cybern. Syst., 52 (11): 6937-6951 (2022)Towards real-time anomaly detection within X-ray security imagery: self-supervised adversarial training approach.. Durham University, UK, (2020)British Library, EThOS.Autoencoders Without Reconstruction for Textural Anomaly Detection., , , и . IJCNN, стр. 1-8. IEEE, (2021)Incremental Instance Segmentation for Cluttered Baggage Threat Detection., , , , , , и . CIVEMSA, стр. 1-6. IEEE, (2023)Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection, , и . 2019 International Joint Conference on Neural Networks (IJCNN), (июля 2019)Anomalib: A Deep Learning Library for Anomaly Detection., , , , , и . ICIP, стр. 1706-1710. IEEE, (2022)Unsupervised anomaly instance segmentation for baggage threat recognition., , , , и . J. Ambient Intell. Humaniz. Comput., 14 (3): 1607-1618 (марта 2023)Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans., , , , и . CoRR, (2020)On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks., , , и . ICIP, стр. 3413-3417. IEEE, (2018)