Improved anomaly detection by training an autoencoder with skip
connections on images corrupted with Stain-shaped noise

Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise

29 August 2020

Anne-Sophie Collin

Christophe De Vleeschouwer

Papers citing "Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise"

7 / 7 papers shown

Title
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection Tingfeng Huang Yuxuan Cheng Jingbo Xia Rui Yu Yuxuan Cai Jinhai Xiang Xinwei He AAML 61 0 0 14 Aug 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 35 6 0 29 Mar 2024
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection Tongkun Liu Bing Li Xiao Du Bingke Jiang Xiao Jin Liuyi Jin Zhu Zhao 26 27 0 15 May 2023
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection Tongkun Liu Bing Li Zhu Zhao Xiaoyu Du Bin Jiang Leqi Geng 28 35 0 26 Oct 2022
Connective Reconstruction-based Novelty Detection Seyyed Morteza Hashemi Parvaneh Aliniya Parvin Razzaghi OODD 17 0 0 25 Oct 2022
Rethinking Skip Connections in Encoder-decoder Networks for Monocular Depth Estimation Zhitong Lai Haichao Sun Rui Tian Nannan Ding Zhiguo Wu Yanjie Wang MDE 22 3 0 29 Aug 2022
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 24 6 0 26 Nov 2021