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Inpainting Transformer for Anomaly Detection

Inpainting Transformer for Anomaly Detection

28 April 2021
Jonathan Pirnay
K. Chai
    ViT
ArXivPDFHTML

Papers citing "Inpainting Transformer for Anomaly Detection"

23 / 23 papers shown
Title
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
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
IPAD: Industrial Process Anomaly Detection Dataset
IPAD: Industrial Process Anomaly Detection Dataset
Jinfan Liu
Yichao Yan
Junjie Li
Weiming Zhao
Pengzhi Chu
Xingdong Sheng
Yunhui Liu
Xiaokang Yang
37
0
0
23 Apr 2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
Haoyang He
Yuhu Bai
Jiangning Zhang
Qingdong He
Hongxu Chen
Zhenye Gan
Chengjie Wang
Xiangtai Li
Guanzhong Tian
Lei Xie
Mamba
63
33
0
09 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
35
6
0
29 Mar 2024
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly
  for Anomaly Detection
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Ximiao Zhang
Min Xu
Xiuzhuang Zhou
48
47
0
09 Mar 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping
Alex Costanzino
Pierluigi Zama Ramirez
Giuseppe Lisanti
Luigi Di Stefano
19
10
0
07 Dec 2023
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
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
Ano-SuPs: Multi-size anomaly detection for manufactured products by identifying suspected patches
Ano-SuPs: Multi-size anomaly detection for manufactured products by identifying suspected patches
Hao Xu
Juan Du
Andi Wang
YingCong Chen
19
1
0
20 Sep 2023
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly
  Detection
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection
Yujin Lee
Harin Lim
Seoyoon Jang
H. Yoon
24
4
0
24 Jul 2023
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and
  Localization
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization
Shiqi Deng
Zhiyu Sun
Ruiyan Zhuang
Jun Gong
39
5
0
06 Jul 2023
Feasibility of Universal Anomaly Detection without Knowing the
  Abnormality in Medical Images
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
C. Cui
Yaohong Wang
Shunxing Bao
Yucheng Tang
Ruining Deng
...
Qi Liu
Lori A. Coburn
K. Wilson
Bennett A. Landman
Yuankai Huo
OOD
31
0
0
03 Jul 2023
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and
  Masked Multi-scale Reconstruction
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction
Zilong Zhang
Zhibin Zhao
Xingwu Zhang
Chuang Sun
Xuefeng Chen
19
49
0
05 Apr 2023
Two-stream Decoder Feature Normality Estimating Network for Industrial
  Anomaly Detection
Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection
Chaewon Park
Minhyeok Lee
Suhwan Cho
Donghyeon Kim
Sangyoun Lee
19
4
0
20 Feb 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
29
1
0
30 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization
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
Generalizable Industrial Visual Anomaly Detection with Self-Induction
  Vision Transformer
Generalizable Industrial Visual Anomaly Detection with Self-Induction Vision Transformer
Haiming Yao
Wenyong Yu
ViT
25
5
0
22 Nov 2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly
  Detection
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Xuan Zhang
Shiyu Li
Xi Li
Ping-Chia Huang
Jiulong Shan
Ting Chen
16
126
0
21 Nov 2022
Harmonizing output imbalance for defect segmentation on
  extremely-imbalanced photovoltaic module cells images
Harmonizing output imbalance for defect segmentation on extremely-imbalanced photovoltaic module cells images
Jianye Yi
Xiaopin Zhong
Weixiang Liu
Zongze Wu
Yuanlong Deng
Zhengguang Wu
27
0
0
10 Nov 2022
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual
  Anomaly Detector
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector
Haiming Yao
Xue Wang
Wenyong Yu
22
9
0
01 Nov 2022
Reconstruction from edge image combined with color and gradient
  difference for industrial surface anomaly detection
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
Self-Supervised Masked Convolutional Transformer Block for Anomaly
  Detection
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
Neelu Madan
Nicolae-Cătălin Ristea
Radu Tudor Ionescu
Kamal Nasrollahi
F. Khan
T. Moeslund
M. Shah
ViT
MedIm
258
61
0
25 Sep 2022
Diffusion Models for Medical Anomaly Detection
Diffusion Models for Medical Anomaly Detection
J. Wolleb
Florentin Bieder
Robin Sandkühler
Philippe C. Cattin
MedIm
DiffM
39
261
0
08 Mar 2022
A Multi-Scale A Contrario method for Unsupervised Image Anomaly
  Detection
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection
Matías Tailanián
Pablo Musé
Álvaro Pardo
32
8
0
05 Oct 2021
1