Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and
Masked Multi-scale Reconstruction

Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction

5 April 2023

Papers citing "Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction"

19 / 19 papers shown

Title
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection Aimira Baitieva Yacine Bouaouni Alexandre Briot Dick Ameln Souhaiel Khalfaoui S. Akçay 39 0 0 30 Mar 2025
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios Ziming Huang Xurui Li Haotian Liu Feng Xue Yuzhe Wang Yu Zhou 28 0 0 18 Oct 2024
Small Object Few-shot Segmentation for Vision-based Industrial Inspection Zilong Zhang Chang Niu Yi Lin Jingchi Jiang Xuefeng Chen 19 1 0 31 Jul 2024
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection Yun Liang Zhiguang Hu Junjie Huang Donglin Di Anyang Su Lei Fan 27 2 0 01 Jul 2024
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection Feng Wang Chengming Liu Lei Shi Haibo Pang 19 1 0 16 May 2024
IPAD: Industrial Process Anomaly Detection Dataset Jinfan Liu Yichao Yan Junjie Li Weiming Zhao Pengzhi Chu Xingdong Sheng Yunhui Liu Xiaokang Yang 17 0 0 23 Apr 2024
SoftPatch: Unsupervised Anomaly Detection with Noisy Data Xi Jiang Ying Chen Qiang Nie Y. Liu Jianlin Liu Jinbao Wang WU Kai Chengjie Wang Feng Zheng 124 34 0 21 Mar 2024
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study A. Silva Francisco Simões Danny Kowerko Tobias Schlosser Felipe Battisti Veronica Teichrieb 20 3 0 05 Nov 2023
InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images A. Silva H. Felix Franscisco Paulo Magalhaes Simoes Veronica Teichrieb Michel Mozinho dos Santos H. Santiago V. Sgotti H. B. D. T. L. Neto 14 12 0 02 Nov 2023
Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics Shuai Yang Zhifei Chen Pengguang Chen Xi Fang Yixun Liang Shu Liu Ying-Cong Chen 8 10 0 26 Oct 2023
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization Shiqi Deng Zhiyu Sun Ruiyan Zhuang Jun Gong 27 5 0 06 Jul 2023
Segment Any Anomaly without Training via Hybrid Prompt Regularization Yunkang Cao Xiaohao Xu Chen Sun Y. Cheng Zongwei Du Liang Gao Weiming Shen VLM 24 69 0 18 May 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 19 5 0 22 Feb 2023
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 101 299 0 26 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 118 82 0 30 Sep 2021
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 100 160 0 28 Apr 2021
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation Jie Yang Yong Shi Zhiquan Qi UQCV 101 114 0 13 Dec 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014