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Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation.

, , и . BMVC, стр. 472. BMVA Press, (2022)

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Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping., , , , , , и . MIDL, том 143 из Proceedings of Machine Learning Research, стр. 5-21. PMLR, (2021)Quantifying Explainers of Graph Neural Networks in Computational Pathology., , , , , , , , , и . CoRR, (2020)Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization., и . AAAI, стр. 14720-14728. AAAI Press, (2023)Exploring Factors for Improving Low Resolution Face Recognition., , , и . CVPR Workshops, стр. 2363-2370. Computer Vision Foundation / IEEE, (2019)Medical Image Super Resolution by Preserving Interpretable and Disentangled Features., , и . ECCV Workshops (7), том 13807 из Lecture Notes in Computer Science, стр. 709-721. Springer, (2022)Adaptive Multiple Component Metric Learning for Robust Visual Tracking., и . ICONIP (3), том 8228 из Lecture Notes in Computer Science, стр. 566-575. Springer, (2013)The Visual Object Tracking VOT2013 Challenge Results., , , , , , , , , и 41 other автор(ы). ICCV Workshops, стр. 98-111. IEEE Computer Society, (2013)Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking., и . ACCV (5), том 9007 из Lecture Notes in Computer Science, стр. 564-578. Springer, (2014)Discriminative Multi-Task Sparse Learning for Robust Visual Tracking Using Conditional Random Field., и . DICTA, стр. 1-8. IEEE, (2014)Informative sample generation using class aware generative adversarial networks for classification of chest Xrays., , , , , , и . CoRR, (2019)