Publisher
Springer Nature Switzerland
Reference28 articles.
1. Bozorgtabar, B., Mahapatra, D.: Attention-conditioned augmentations for self-supervised anomaly detection and localization. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 37, pp. 14720–14728 (2023)
2. Lecture Notes in Computer Science;B Bozorgtabar,2020
3. Cai, Y., Chen, H., Yang, X., Zhou, Y., Cheng, K.T.: Dual-distribution discrepancy for anomaly detection in chest x-rays. In: Medical Image Computing and Computer Assisted Intervention-MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part III. pp. 584–593. Springer (2022). https://doi.org/10.1007/978-3-031-16437-8_56
4. Cai, Y., Chen, H., Yang, X., Zhou, Y., Cheng, K.T.: Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images. Med. Image Anal. 86, 102794 (2023)
5. Chen, X., Fan, H., Girshick, R., He, K.: Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 (2020)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献