Threat Object-based anomaly detection in X-ray images using GAN-based ensembles
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-08029-z.pdf
Reference20 articles.
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2. Schlegl T et al (2017) Unsupervised anomaly detection with generative adversarial networks to guide marker discovery. In: Proceedings of Information Processing in Medical Imaging (IPMI) (2017), lecture notes in computer science, vol 10265, pp 146–157
3. Zenati H et al (2018) Efficient GAN-based anomaly detection. In: ICDM. arXiv:1812.02288
4. Donahue J et al (2017) Adversarial feature learning. In: ICLR. arXiv:1605.09782
5. Ackay S et al (2018) Semi-supervised anomaly detection via adversarial training. In: Asian Conference on Computer Vision (ACCV). Lecture notes in computer science, vol 11363, pp 622–637. arxiv:1805.06725v3
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