[PT Paper Review] Memory guided Autoencoder for Unsupervised Anomaly Detection

2024년 2월 29일 논문 세미나 발표하였습니다~!

주제: Memory guided Autoencoder for Unsupervised Anomaly Detection

세부 주제:
[1] Gong, D., Liu, L., Le, V., Saha, B., Mansour, M. R., Venkatesh, S., & Hengel, A. V. D. (2019). Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 1705-1714).

[2] Xing, P., & Li, Z. (2023). Visual anomaly detection via partition memory bank module and error estimation. IEEE Transactions on Circuits and Systems for Video Technology.

발표 자료: https://drive.google.com/file/d/1XVy9wy6henaa3IBSoX7rhan7n8jdWkFR/view?usp=drive_link

발표 영상: https://youtu.be/YDr097H1fuU?si=JlezLPV_gGFrgCmt