Zero-Shot Anomaly Detection with Pre-trained Segmentation Models

15 June 2023

Papers citing "Zero-Shot Anomaly Detection with Pre-trained Segmentation Models"

8 / 8 papers shown

Title
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models Zongyun Zhang Jiacheng Ruan Xian Gao Ting Liu Yuzhuo Fu 70 2 0 18 Mar 2025
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey Andrea Prenner Bernhard Kainz 26 0 0 26 Sep 2024
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors Christian Wilms Tim Rolff Maris Hillemann Robert Johanson Simone Frintrop VLM 31 1 0 22 Sep 2024
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images Xurui Li Ziming Huang Feng Xue Yu Zhou 15 19 0 30 Jan 2024
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering Chaoning Zhang Fachrina Dewi Puspitasari Sheng Zheng Chenghao Li Yu Qiao ... Caiyan Qin François Rameau Lik-Hang Lee Sung-Ho Bae Choong Seon Hong VLM 76 62 0 12 May 2023
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis Andrei-Timotei Ardelean Tim Weyrich 24 4 0 13 Apr 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 68 222 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 67 184 0 26 Mar 2023