Optimizing PatchCore for Few/many-shot Anomaly Detection

20 July 2023

Papers citing "Optimizing PatchCore for Few/many-shot Anomaly Detection"

7 / 7 papers shown

Title
Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection Yunbo Long Zhengyang Ling Sam Brook Duncan McFarlane Alexandra Brintrup 25 0 0 24 Sep 2024
Small Object Few-shot Segmentation for Vision-based Industrial Inspection Zilong Zhang Chang Niu Yi Lin Jingchi Jiang Xuefeng Chen 36 1 0 31 Jul 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 51 3 0 23 May 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection Yuhu Bai Jiangning Zhang Yuhang Dong Guanzhong Tian Liang Liu Yunkang Cao Yabiao Wang Chengjie Wang 34 2 0 07 Mar 2024
PatchProto Networks for Few-shot Visual Anomaly Classification Jian Wang Yue Zhuo 30 0 0 07 Oct 2023
What makes a good data augmentation for few-shot unsupervised image anomaly detection? Lingrui Zhang Shuheng Zhang Guoyang Xie Jiaqi Liu Hua Yan Jinbao Wang Feng Zheng Yaochu Jin 25 9 0 06 Apr 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