MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with
Mutual Scoring of the Unlabeled Images

MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images

30 January 2024

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Papers citing "MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images"

17 / 17 papers shown

Title
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao VLM 175 0 0 14 May 2025
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection Fenfang Tao G. Xie Fang Zhao Xiangbo Shu 107 3 0 23 Dec 2024
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios Ziming Huang Xurui Li Haotian Liu Feng Xue Yuzhe Wang Yu Zhou 116 0 0 18 Oct 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 89 8 0 23 May 2024
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection Jiaqi Zhu Shaofeng Cai Fang Deng Junran Wu Junran Wu 123 18 0 15 Apr 2024
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models Matthew Baugh James Batten Johanna P. Müller Bernhard Kainz 69 6 0 15 Jun 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 121 256 0 27 Mar 2023
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation Yang Zou Jongheon Jeong Latha Pemula Dongqing Zhang Onkar Dabeer 95 309 0 28 Jul 2022
Registration based Few-Shot Anomaly Detection Chaoqin Huang Haoyan Guan Aofan Jiang Ya Zhang Michael W. Spratling Yanfeng Wang 77 147 0 15 Jul 2022
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 181 137 0 30 Sep 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 88 919 0 15 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 719 6,127 0 29 Apr 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 110 303 0 20 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 465 21,566 0 25 Mar 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 75 220 0 07 Mar 2021
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 79 847 0 17 Nov 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 153 385 0 29 Jun 2020

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