Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection

6 October 2021

Papers citing "Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection"

22 / 22 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 36 0 0 15 May 2025
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 25 4 0 14 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao VLM 22 0 0 14 May 2025
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection Hanzhe Liang Aoran Wang Jie Zhou Xin Jin C. Gao Jinbao Wang 26 0 0 09 May 2025
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning Peijian Zeng Feiyan Pang Zhanbo Wang Aimin Yang 71 0 0 28 Apr 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
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 46 3 0 23 May 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection Chengjie Wang Wenbing Zhu Bin-Bin Gao Zhenye Gan Jianning Zhang Zhihao Gu Shuguang Qian Mingang Chen Lizhuang Ma 42 45 0 19 Mar 2024
The voraus-AD Dataset for Anomaly Detection in Robot Applications Jan Thiess Brockmann Marco Rudolph Bodo Rosenhahn Bastian Wandt 21 11 0 08 Nov 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection Qiang Zhou Weize Li Lihan Jiang Guoliang Wang Guyue Zhou Shanghang Zhang Hao Zhao 24 29 0 11 Oct 2023
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization Shiqi Deng Zhiyu Sun Ruiyan Zhuang Jun Gong 37 5 0 06 Jul 2023
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection Jaemin Yoo Lingxiao Zhao L. Akoglu 27 4 0 21 Jun 2023
MixedTeacher : Knowledge Distillation for fast inference textural anomaly detection Simon Thomine H. Snoussi Mahmoud Soua 21 5 0 16 Jun 2023
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection Tongkun Liu Bing Li Xiao Du Bingke Jiang Xiao Jin Liuyi Jin Zhu Zhao 24 27 0 15 May 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 43 129 0 25 Mar 2023
Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt 29 7 0 23 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow Jiarui Lei Xiao-Xiang Hu Yue Wang Dong Liu 35 59 0 05 Mar 2023
$FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation$ FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation X. Xia Weijie Lv Xing He Nan Li Chuanqi Liu Ning Ding 27 1 0 30 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization H. Zhang Zuxuan Wu Z. Wang Zhineng Chen Yuwei Jiang UQCV AI4TS 35 62 0 05 Dec 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold Matías Tailanián Álvaro Pardo Pablo Musé 27 17 0 22 Nov 2022
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection Yeongmin Kim Huiwon Jang Dongkeon Lee Ho-Jin Choi 27 9 0 26 Oct 2022
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection Tongkun Liu Bing Li Zhu Zhao Xiaoyu Du Bin Jiang Leqi Geng 28 35 0 26 Oct 2022