MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly
Detection

MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection

29 August 2023

Yixuan Zhou

Xing Xu

Jingkuan Song

Papers citing "MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection"

8 / 8 papers shown

Title
Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark Yunkang Cao Yuqi Cheng Xiaohao Xu Yiheng Zhang Yihan Sun Yuxiang Tan Yuxin Zhang Xiaonan Huang Weiming Shen 12 0 0 16 May 2025
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects Paul J. Krassnig Dieter P. Gruber 157 0 0 06 Mar 2025
Self-Supervised Training with Autoencoders for Visual Anomaly Detection Alexander Bauer Shinichi Nakajima Klaus-Robert Müller 21 9 0 23 Jun 2022
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection Marco Rudolph Tom Wehrbein Bodo Rosenhahn Bastian Wandt UQCV 81 208 0 06 Oct 2021
Anomaly detection through latent space restoration using vector-quantized variational autoencoders Sergio Naval Marimont G. Tarroni DRL 128 57 0 12 Dec 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 309 36,371 0 25 Aug 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 251 2,550 0 25 Jan 2016