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Dual-Branch Reconstruction Network for Industrial Anomaly Detection with
  RGB-D Data

Dual-Branch Reconstruction Network for Industrial Anomaly Detection with RGB-D Data

12 November 2023
Chenyang Bi
Yueyang Li
Haichi Luo
ArXivPDFHTML

Papers citing "Dual-Branch Reconstruction Network for Industrial Anomaly Detection with RGB-D Data"

6 / 6 papers shown
Title
Multimodal Industrial Anomaly Detection via Hybrid Fusion
Multimodal Industrial Anomaly Detection via Hybrid Fusion
Yue Wang
Jinlong Peng
Jiangning Zhang
Ran Yi
Yabiao Wang
Chengjie Wang
3DPC
75
84
0
01 Mar 2023
Omni-frequency Channel-selection Representations for Unsupervised
  Anomaly Detection
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
Yufei Liang
Jiangning Zhang
Shiwei Zhao
Ru-Chwen Wu
Yong-Jin Liu
Shuwen Pan
118
115
0
01 Mar 2022
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
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Marco Rudolph
Tom Wehrbein
Bodo Rosenhahn
Bastian Wandt
UQCV
73
203
0
06 Oct 2021
Inpainting Transformer for Anomaly Detection
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay
K. Chai
ViT
100
163
0
28 Apr 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
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