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Global-Regularized Neighborhood Regression for Efficient Zero-Shot
  Texture Anomaly Detection

Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection

11 June 2024
Haiming Yao
Wei Luo
Yunkang Cao
Yiheng Zhang
Wenyong Yu
Weiming Shen
ArXivPDFHTML

Papers citing "Global-Regularized Neighborhood Regression for Efficient Zero-Shot Texture Anomaly Detection"

2 / 2 papers shown
Title
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
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
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
101
440
0
26 Jan 2022
1