【论文】Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
这篇是基于GANomaly的改进。文章的代码暂时没有公布。 Akçay S, Atapour-Abarghouei A, Breckon T P. Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection[J]. arXiv preprint arXiv:1901.08954,
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相关文章
- 1. Interpreting Adversarially Trained Convolutional Neural Networks
- 2. Towards Adversarially Robust Object Detection 论文笔记
- 3. 论文译文《ANOMALY DETECTION WITH GENERATIVE ADVERSARIAL NETWORKS》
- 4. 论文速读:Adversarially Learned One-Class Classifier for Novelty Detection [CVPR 2018]
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- 7. 论文速读:Attribute Restoration Framework for Anomaly Detection
- 8. Deep Anomaly Detection with Deviation Networks 论文笔记
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- 10. Anomaly Detection