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. 2205.00908
  4. Cited By
MemSeg: A semi-supervised method for image surface defect detection
  using differences and commonalities

MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities

2 May 2022
Minghui Yang
Peng Wu
Jing Liu
Hui Feng
ArXivPDFHTML

Papers citing "MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities"

16 / 16 papers shown
Title
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
Weakly Supervised Video Anomaly Detection and Localization with
  Spatio-Temporal Prompts
Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts
Peng Wu
Xuerong Zhou
Guansong Pang
Zhiwei Yang
Qingsen Yan
Peng Wang
Yanning Zhang
28
9
0
12 Aug 2024
Leveraging Latent Diffusion Models for Training-Free In-Distribution
  Data Augmentation for Surface Defect Detection
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection
Federico Girella
Ziyue Liu
Franco Fummi
Francesco Setti
Marco Cristani
Luigi Capogrosso
39
3
0
04 Jul 2024
GLAD: Towards Better Reconstruction with Global and Local Adaptive
  Diffusion Models for Unsupervised Anomaly Detection
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection
Hang Yao
Ming-Yu Liu
Haolin Wang
Zhicun Yin
Zifei Yan
Xiaopeng Hong
W. Zuo
45
15
0
11 Jun 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection
Junzhuo Chen
Shitong Kang
39
0
0
10 May 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile
  Industrial Anomaly Detection
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
50
46
0
19 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
54
47
0
09 Mar 2024
A Novel Approach to Industrial Defect Generation through Blended Latent
  Diffusion Model with Online Adaptation
A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation
Hanxi Li
Zhengxun Zhang
Hao Chen
Lin Wu
Bo Li
Deyin Liu
Mingwen Wang
50
2
0
29 Feb 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
32
30
0
11 Oct 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
40
17
0
13 Aug 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
Hui Zhang
Zheng Wang
Dan Zeng
Zuxuan Wu
Yu-Gang Jiang
DiffM
45
24
0
15 Mar 2023
Prototypical Residual Networks for Anomaly Detection and Localization
Prototypical Residual Networks for Anomaly Detection and Localization
H. Zhang
Zuxuan Wu
Zhilin Wang
Zhineng Chen
Yuwei Jiang
UQCV
AI4TS
35
62
0
05 Dec 2022
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
Self-Supervised Training with Autoencoders for Visual Anomaly Detection
Alexander Bauer
Shinichi Nakajima
Klaus-Robert Müller
21
9
0
23 Jun 2022
Inpainting Transformer for Anomaly Detection
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay
K. Chai
ViT
107
165
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
80
287
0
20 Apr 2021
1