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20172023
most citedDeep Industrial Image Anomaly Detection: A Survey

420 citations · 1.1k across the 41 of their papers we have counts for

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10 papers · 1 filter

cs.CV2023★ 2 cited

Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection

Tao Lei, Yetong Xu, Hailong Ning +4

Popular Transformer networks have been successfully applied to remote sensing (RS) image change detection (CD) identifications and achieve better results than most convolutional ne…

cs.CV2023★ 2 cited

What makes a good data augmentation for few-shot unsupervised image anomaly detection?

Lingrui Zhang, Shuheng Zhang, Guoyang Xie +5

Data augmentation is a promising technique for unsupervised anomaly detection in industrial applications, where the availability of positive samples is often limited due to factors…

cs.CV2023★ 2 cited

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing

Guoyang Xie, Jinbao Wang, Jiaqi Liu +5

Image anomaly detection (IAD) is an emerging and vital computer vision task in industrial manufacturing (IM). Recently, many advanced algorithms have been reported, but their perfo…

cs.CV2023★ 25 cited

Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore

Guoyang Xie, Jinbao Wang, Jiaqi Liu +2

In the area of fewshot anomaly detection (FSAD), efficient visual feature plays an essential role in memory bank M-based methods. However, these methods do not account for the rela…

cs.CV2023★ 420 cited

Deep Industrial Image Anomaly Detection: A Survey

Jiaqi Liu, Guoyang Xie, Jinbao Wang +4

The recent rapid development of deep learning has laid a milestone in industrial Image Anomaly Detection (IAD). In this paper, we provide a comprehensive review of deep learning-ba…

cs.CV2022★ 8 cited

A Survey of Visual Sensory Anomaly Detection

Xi Jiang, Guoyang Xie, Jinbao Wang +4

Visual sensory anomaly detection (AD) is an essential problem in computer vision, which is gaining momentum recently thanks to the development of AI for good. Compared with semanti…