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GANomaly: Semi-supervised Anomaly Detection via Adversarial Training

, , and . Computer Vision -- ACCV 2018, page 622--637. Cham, Springer International Publishing, (2019)

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Long-term Reproducibility for Neural Architecture Search., , , and . CoRR, (2022)Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection, , and . (2019)cite arxiv:1901.08954Comment: Conference Submission. 8 pages, 9 figures.A Robust Fuzzy and Cellular Learning Automata Edge Detection and Enhancement Method., , , , and . IPCV, page 551-556. CSREA Press, (2010)Predicting the Performance of a Computing System with Deep Networks., , , and . ICPE, page 91-98. ACM, (2023)Rank over Class: The Untapped Potential of Ranking in Natural Language Processing., , and . IEEE BigData, page 3950-3959. IEEE, (2021)Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer., , , and . Pattern Recognit., (2019)Immaculate depth perception: recovering 3D scene information via depth completion and prediction.. Durham University, UK, (2019)British Library, EThOS.A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip., , , , , , and . BHI, page 1-4. IEEE, (2022)Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer., and . CVPR, page 2800-2810. Computer Vision Foundation / IEEE Computer Society, (2018)Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion., and . ICIAR, volume 10882 of Lecture Notes in Computer Science, page 306-314. Springer, (2018)