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Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach.

, , , , , и . ICIP, стр. 2016-2020. IEEE, (2020)

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Unsupervised anomaly instance segmentation for baggage threat recognition., , , , и . J. Ambient Intell. Humaniz. Comput., 14 (3): 1607-1618 (марта 2023)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)Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats., , , , , , и . Sensors, 20 (22): 6450 (2020)Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble., , , и . CoRR, (2024)Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection, , и . (2019)cite arxiv:1901.08954Comment: Conference Submission. 8 pages, 9 figures.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)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 . IJCNN, стр. 1-8. IEEE, (2019)Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach., , , , , и . ICIP, стр. 2016-2020. IEEE, (2020)Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation., , , и . CVPR Workshops, стр. 83-92. Computer Vision Foundation / IEEE, (2020)