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Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection

, , и . (2019)cite arxiv:1901.08954Comment: Conference Submission. 8 pages, 9 figures.

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Nurhan Akçayl

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Multi-Task Regression-Based Learning for Autonomous Unmanned Aerial Vehicle Flight Control Within Unstructured Outdoor Environments., , , , и . IEEE Robotics Autom. Lett., 4 (4): 4116-4123 (2019)Autoencoders Without Reconstruction for Textural Anomaly Detection., , , и . IJCNN, стр. 1-8. IEEE, (2021)Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection, , и . (2019)cite arxiv:1901.08954Comment: Conference Submission. 8 pages, 9 figures.Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble., , , и . CoRR, (2024)On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery., , , , и . ICMLA, стр. 986-991. IEEE, (2019)Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation., , и . CoRR, (2019)Unsupervised anomaly instance segmentation for baggage threat recognition., , , , и . J. Ambient Intell. Humaniz. Comput., 14 (3): 1607-1618 (марта 2023)Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats., , , , , , и . Sensors, 20 (22): 6450 (2020)Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery., , , , , и . IJCNN, стр. 1-8. IEEE, (2019)Tensor pooling-driven instance segmentation framework for baggage threat recognition., , , , и . Neural Comput. Appl., 34 (2): 1239-1250 (2022)