ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.02595
  4. Cited By
PyramidFlow: High-Resolution Defect Contrastive Localization using
  Pyramid Normalizing Flow

PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow

5 March 2023
Jiarui Lei
Xiao-Xiang Hu
Yue Wang
Dong Liu
ArXivPDFHTML

Papers citing "PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow"

42 / 42 papers shown
Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
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
34
0
0
15 May 2025
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Bin-Bin Gao
23
4
0
14 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Bin-Bin Gao
VLM
17
0
0
14 May 2025
Flow Along the K-Amplitude for Generative Modeling
Flow Along the K-Amplitude for Generative Modeling
Weitao Du
Shuning Chang
Jiasheng Tang
Yu Rong
F. Wang
Shengchao Liu
51
0
0
27 Apr 2025
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
Wenbing Zhu
Lidong Wang
Ziqing Zhou
Chengjie Wang
Yurui Pan
...
Yulong Chen
Shuguang Qian
M. Chi
Bo Peng
Lizhuang Ma
26
0
0
19 Apr 2025
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models
Afshin Khadangi
Amir Sartipi
Igor Tchappi
Ramin Bahmani
33
1
0
04 Apr 2025
Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point
Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point
Travis Barrett
Amit Kumar Mishra
43
0
0
09 Mar 2025
Revisiting Multimodal Fusion for 3D Anomaly Detection from an
  Architectural Perspective
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective
Kaifang Long
Guoyang Xie
Lianbo Ma
Jiaqi Liu
Zhichao Lu
33
2
0
23 Dec 2024
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly
  Detection and Localization
AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization
Wei Luo
Haiming Yao
Wenyong Yu
Zhengyong Li
64
12
0
16 Dec 2024
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection
Long Qian
Bingke Zhu
Yingying Chen
Ming Tang
J. T. Wang
78
2
0
30 Nov 2024
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For
  Anomaly Segmentation
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
Chang Won Lee
Selina Leveugle
Svetlana Stolpner
Chris Langley
Paul Grouchy
Jonathan Kelly
Steven Waslander
75
0
0
29 Nov 2024
Texture-AD: An Anomaly Detection Dataset and Benchmark for Real
  Algorithm Development
Texture-AD: An Anomaly Detection Dataset and Benchmark for Real Algorithm Development
Tianwu Lei
Bohan Wang
Silin Chen
Shurong Cao
Ningmu Zou
35
1
0
10 Sep 2024
Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly
  Detection
Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection
Tianwu Lei
Silin Chen
Bohan Wang
Zhengkai Jiang
Ningmu Zou
OOD
37
1
0
09 Sep 2024
Dynamic Label Injection for Imbalanced Industrial Defect Segmentation
Dynamic Label Injection for Imbalanced Industrial Defect Segmentation
Emanuele Caruso
Francesco Pelosin
Alessandro Simoni
Marco Boschetti
33
0
0
19 Aug 2024
Towards High-resolution 3D Anomaly Detection via Group-Level Feature
  Contrastive Learning
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning
Hongze Zhu
Guoyang Xie
Chengbin Hou
Tao Dai
Can Gao
Jinbao Wang
Linlin Shen
3DPC
39
7
0
08 Aug 2024
Learning Multi-view Anomaly Detection
Learning Multi-view Anomaly Detection
Haoyang He
Jiangning Zhang
Guanzhong Tian
Chengjie Wang
Lei Xie
36
2
0
16 Jul 2024
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial
  Anomaly Detection and Localization
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
Qiyu Chen
Huiyuan Luo
Chengkan Lv
Zhengtao Zhang
35
15
0
12 Jul 2024
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and
  Localization
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
Hanxi Li
Jingqi Wu
Lin Yuanbo Wu
Hao Chen
Deyin Liu
Chunhua Shen
26
0
0
03 Jul 2024
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
Yun Liang
Zhiguang Hu
Junjie Huang
Donglin Di
Anyang Su
Lei Fan
40
2
0
01 Jul 2024
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image
  Anomaly Detection
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection
Yuqi Cheng
Yunkang Cao
Rui Chen
Weiming Shen
38
3
0
11 Jun 2024
A Recover-then-Discriminate Framework for Robust Anomaly Detection
A Recover-then-Discriminate Framework for Robust Anomaly Detection
Peng-Fei Xing
Dong Zhang
Jinhui Tang
Zechao li
34
1
0
07 Jun 2024
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via
  Multimodal Denoising
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising
Chengjie Wang
Haokun Zhu
Jinlong Peng
Yue Wang
Ran Yi
Yunsheng Wu
Lizhuang Ma
J. J. Zhang
57
4
0
04 Jun 2024
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
Di Wu
Shicai Fan
Xue Zhou
Li Yu
Yuzhong Deng
Jianxiao Zou
Baihong Lin
DiffM
38
4
0
27 Apr 2024
Learning Feature Inversion for Multi-class Anomaly Detection under
  General-purpose COCO-AD Benchmark
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
Jiang-She Zhang
Chengjie Wang
Xiangtai Li
Guanzhong Tian
Zhucun Xue
Yong Liu
Guansong Pang
Dacheng Tao
49
4
0
16 Apr 2024
Toward Multi-class Anomaly Detection: Exploring Class-aware Unified
  Model against Inter-class Interference
Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference
Xi Jiang
Ying Chen
Qiang Nie
Jianlin Liu
Yong-Jin Liu
Chengjie Wang
Feng Zheng
42
3
0
21 Mar 2024
Learning Unified Reference Representation for Unsupervised Multi-class
  Anomaly Detection
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
Liren He
Zhengkai Jiang
Jinlong Peng
Liang Liu
Qiangang Du
Xiaobin Hu
Wenbing Zhu
Mingmin Chi
Yabiao Wang
Chengjie Wang
21
10
0
18 Mar 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
Yuhu Bai
Jiangning Zhang
Yuhang Dong
Guanzhong Tian
Liang Liu
Yunkang Cao
Yabiao Wang
Chengjie Wang
34
2
0
07 Mar 2024
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with
  Mutual Scoring of the Unlabeled Images
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
Xurui Li
Ziming Huang
Feng Xue
Yu Zhou
20
20
0
30 Jan 2024
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed
  and Low Tolerance
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance
João P C Bertoldo
Dick Ameln
Ashwin Vaidya
Samet Akccay
30
2
0
03 Jan 2024
Unsupervised Continual Anomaly Detection with Contrastively-learned
  Prompt
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
Jiaqi Liu
Kai Wu
Qiang Nie
Ying Chen
Bin-Bin Gao
Yong-Jin Liu
Jinbao Wang
Chengjie Wang
Feng Zheng
CLL
18
17
0
02 Jan 2024
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly
  Detection
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection
Jiangning Zhang
Xuhai Chen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
Ming-Hsuan Yang
Dacheng Tao
23
24
0
12 Dec 2023
Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly
  Detection
Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection
Jianjian Qin
Chunzhi Gu
Junzhou Yu
Chao Zhang
30
1
0
30 Nov 2023
CL-Flow:Strengthening the Normalizing Flows by Contrastive Learning for
  Better Anomaly Detection
CL-Flow:Strengthening the Normalizing Flows by Contrastive Learning for Better Anomaly Detection
Shunfeng Wang
Yueyang Li
Haichi Luo
Chenyang Bi
27
1
0
12 Nov 2023
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language
  Models
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Zhaopeng Gu
Bingke Zhu
Guibo Zhu
Yingying Chen
Ming Tang
Jinqiao Wang
VLM
MLLM
15
100
0
29 Aug 2023
Target before Shooting: Accurate Anomaly Detection and Localization
  under One Millisecond via Cascade Patch Retrieval
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
Hanxi Li
Jianfei Hu
Bo-wen Li
Hao Chen
Yongbin Zheng
Chunhua Shen
32
17
0
13 Aug 2023
Exploring the Relationship between Samples and Masks for Robust Defect
  Localization
Exploring the Relationship between Samples and Masks for Robust Defect Localization
Jiangke Lin
Yaping Yan
23
0
0
19 Jun 2023
Industrial Anomaly Detection and Localization Using Weakly-Supervised
  Residual Transformers
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers
Hanxi Li
Jing Wu
Lin Yuanbo Wu
Hao Chen
Deyin Liu
Mingwen Wang
Peng Wang
ViT
34
4
0
06 Jun 2023
ReConPatch : Contrastive Patch Representation Learning for Industrial
  Anomaly Detection
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
Jeeho Hyun
Sangyun Kim
Giyoung Jeon
Seung Hwan Kim
Kyunghoon Bae
Byungjin Kang
UQCV
20
39
0
26 May 2023
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly
  Detection
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
Yunkang Cao
Xiaohao Xu
Weiming Shen
3DPC
24
41
0
23 Mar 2023
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
Haote Xu
Yunlong Zhang
Liyan Sun
Chenxin Li
Yue Huang
Xinghao Ding
MedIm
29
11
0
17 Apr 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
206
0
06 Oct 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and
  Localization
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
P. Mishra
Riccardo Verk
Daniele Fornasier
C. Piciarelli
G. Foresti
ViT
78
284
0
20 Apr 2021
1