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. 2403.05897
  4. Cited By
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly
  for Anomaly Detection

RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection

9 March 2024
Ximiao Zhang
Min Xu
Xiuzhuang Zhou
ArXivPDFHTML

Papers citing "RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection"

36 / 36 papers shown
Title
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
Yuqi Cheng
Yunkang Cao
Dongfang Wang
Weiming Shen
Wenlong Li
29
1
0
12 May 2025
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
Zhe Zhang
Mingxiu Cai
H. Wang
Gaochang Wu
Tianyou Chai
Xiatian Zhu
29
0
0
02 May 2025
3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise
3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise
Yifeng Cheng
Juan Du
17
1
0
17 Apr 2025
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
Long Qian
Bingke Zhu
Yingying Chen
Ming Tang
Jinqiao Wang
36
0
0
17 Apr 2025
AnomalyHybrid: A Domain-agnostic Generative Framework for General Anomaly Detection
AnomalyHybrid: A Domain-agnostic Generative Framework for General Anomaly Detection
Ying Zhao
21
0
0
06 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
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
Aimira Baitieva
Yacine Bouaouni
Alexandre Briot
Dick Ameln
Souhaiel Khalfaoui
S. Akçay
39
0
0
30 Mar 2025
Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift
Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift
Jingyi Liao
Xun Xu
Yongyi Su
Rong-Cheng Tu
Y. Liu
Dacheng Tao
Xulei Yang
OOD
65
1
0
19 Mar 2025
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
Pingting Hao
Kunpeng Liu
Wanfu Gao
53
0
0
18 Mar 2025
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Haoqi Huang
Ping Wang
Jianhua Pei
Jiacheng Wang
Shahen Alexanian
Dusit Niyato
AAML
72
0
0
17 Mar 2025
Multi-View Industrial Anomaly Detection with Epipolar Constrained Cross-View Fusion
Yifan Liu
Xun Xu
Shijie Li
Jingyi Liao
Xulei Yang
41
0
0
14 Mar 2025
AnomalyPainter: Vision-Language-Diffusion Synergy for Zero-Shot Realistic and Diverse Industrial Anomaly Synthesis
Zhangyu Lai
Yilin Lu
Xinyang Li
Jianghang Lin
Yansong Qu
Liujuan Cao
Ming Li
Rongrong Ji
DiffM
116
0
0
10 Mar 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
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
Wei Luo
Yunkang Cao
Haiming Yao
Xiaotian Zhang
Jianan Lou
Y. Cheng
Weiming Shen
Wenyong Yu
57
1
0
04 Mar 2025
A Survey on Foundation-Model-Based Industrial Defect Detection
A Survey on Foundation-Model-Based Industrial Defect Detection
Tianle Yang
Luyao Chang
Jiadong Yan
J. Li
Zhi Wang
Ke Zhang
AI4CE
76
2
0
26 Feb 2025
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection
Zekang Weng
Jinjin Shi
Jinwei Wang
Zeming Han
38
0
0
26 Feb 2025
A Survey on Industrial Anomalies Synthesis
A Survey on Industrial Anomalies Synthesis
Xichen Xu
Yanshu Wang
Yawen Huang
Jiaqi Liu
Xiaoning Lei
Guoyang Xie
Guannan Jiang
Zhichao Lu
52
1
0
23 Feb 2025
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection
Jiaxiang Wang
Haote Xu
Xiaolu Chen
Haodi Xu
Yue Huang
Xinghao Ding
Xiaotong Tu
48
0
0
16 Feb 2025
"Stones from Other Hills can Polish Jade": Zero-shot Anomaly Image Synthesis via Cross-domain Anomaly Injection
Siqi Wang
Yuanze Hu
Xinwang Liu
Siwei Wang
G. Wang
Chuanfu Xu
Jie Liu
Ping Chen
DiffM
39
1
0
25 Jan 2025
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly
  Detection
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
Qiyu Chen
Huiyuan Luo
Han Gao
Chengkan Lv
Zhengtao Zhang
40
4
0
23 Dec 2024
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly
  Detection
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection
Jianan Ye
Weiguang Zhao
Xi Yang
Guangliang Cheng
K. Huang
3DPC
85
5
0
17 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
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy
  Training Data
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
Jiin Im
Yongho Son
Je Hyeong Hong
AAML
73
1
0
25 Nov 2024
Identifying Spatio-Temporal Drivers of Extreme Events
Identifying Spatio-Temporal Drivers of Extreme Events
Mohamad Hakam Shams Eddin
Juergen Gall
AI4TS
48
0
0
31 Oct 2024
SeaS: Few-shot Industrial Anomaly Image Generation with Separation and
  Sharing Fine-tuning
SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning
Zhewei Dai
Shilei Zeng
Haotian Liu
Xurui Li
Feng Xue
Yu Zhou
DiffM
29
1
0
19 Oct 2024
AnomalyFactory: Regard Anomaly Generation as Unsupervised Anomaly
  Localization
AnomalyFactory: Regard Anomaly Generation as Unsupervised Anomaly Localization
Ying Zhao
37
1
0
18 Aug 2024
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
Zheyuan Zhou
Le Wang
N. Fang
Zili Wang
Le-miao Qiu
Shuyou Zhang
42
12
0
15 Jul 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
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Jia Guo
Shuai Lu
Weihang Zhang
Huiqi Li
Huiqi Li
Hongen Liao
ViT
59
7
0
23 May 2024
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang
Ying Chen
Qiang Nie
Y. Liu
Jianlin Liu
Jinbao Wang
WU Kai
Chengjie Wang
Feng Zheng
124
59
0
21 Mar 2024
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
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Zhikang Liu
Yiming Zhou
Yuansheng Xu
Zilei Wang
68
229
0
27 Mar 2023
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
104
446
0
26 Jan 2022
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and
  Localization
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
Hannah M. Schlüter
Jeremy Tan
Benjamin Hou
Bernhard Kainz
118
128
0
30 Sep 2021
Inpainting Transformer for Anomaly Detection
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay
K. Chai
ViT
102
164
0
28 Apr 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
76
284
0
20 Apr 2021
1