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

30 January 2024

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

21 / 21 papers shown

Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection Bin-Bin Gao Yue Zhu Jiangtao Yan Y. Cai W. Zhang Meng Wang Jun Liu Y. Liu L. Wang Chengjie Wang VLM 41 0 0 15 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao VLM 25 0 0 14 May 2025
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Peijian Zeng Feiyan Pang Zhanbo Wang Aimin Yang 74 0 0 28 Apr 2025
MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning Ylli Sadikaj Hongkuan Zhou Lavdim Halilaj Stefan Schmid Steffen Staab Claudia Plant 23 0 0 09 Apr 2025
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection Yoon Gyo Jung Jaewoo Park Jaeho Yoon Kuan-Chuan Peng Wonchul Kim Andrew Beng Jin Teoh Octavia Camps 49 0 0 03 Apr 2025
Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point Travis Barrett Amit Kumar Mishra 45 1 0 09 Mar 2025
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection Wei Luo Yunkang Cao Haiming Yao Xiaotian Zhang Jianan Lou Y. Cheng Weiming Shen Wenyong Yu 59 2 0 04 Mar 2025
PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness Yurui Pan Lidong Wang Yuchao Chen Wenbing Zhu Bo Peng M. Chi 69 0 0 03 Mar 2025
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection Fenfang Tao G. Xie Fang Zhao Xiangbo Shu 36 2 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 37 0 0 18 Oct 2024
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection Qihang Zhou Jiangtao Yan Shibo He Wenchao Meng Jiming Chen 3DPC 45 6 0 01 Oct 2024
From Zero to Hero: Cold-Start Anomaly Detection Tal Reiss George Kour Naama Zwerdling Ateret Anaby-Tavor Yedid Hoshen 39 0 0 30 May 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 54 3 0 23 May 2024
Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection Zhaoxiang Zhang Hanqiu Deng Jinan Bao Xingyu Li VLM 36 1 0 08 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 55 15 0 15 Apr 2024
Understanding normalization in contrastive representation learning and out-of-distribution detection T. L. Gia Jaehyun Ahn OODD 33 1 0 23 Dec 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 75 229 0 27 Mar 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran O. Dabeer VLM 75 186 0 26 Mar 2023
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 118 128 0 30 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,775 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 80 287 0 20 Apr 2021