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. 2110.04538
  4. Cited By
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for
  Anomaly Detection and Localization

Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization

9 October 2021
Ye Zheng
Xiang Wang
Rui Deng
Tianpeng Bao
Rui Zhao
Liwei Wu
    OOD
ArXivPDFHTML

Papers citing "Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization"

13 / 13 papers shown
Title
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
Chengjie Wang
Xi Jiang
Bin-Bin Gao
Zhenye Gan
Yong-Jin Liu
Feng Zheng
Lizhuang Ma
UQCV
49
1
0
30 Dec 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
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
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
42
5
0
06 Jul 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
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with
  Unsupervised Threshold
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
Matías Tailanián
Álvaro Pardo
Pablo Musé
30
18
0
22 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
27
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
Registration based Few-Shot Anomaly Detection
Registration based Few-Shot Anomaly Detection
Chaoqin Huang
Haoyan Guan
Aofan Jiang
Ya-Qin Zhang
Michael W. Spratling
Yanfeng Wang
27
142
0
15 Jul 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
[Reproducibility Report] Explainable Deep One-Class Classification
[Reproducibility Report] Explainable Deep One-Class Classification
João P C Bertoldo
Etienne Decencière
23
0
0
06 Jun 2022
Discriminative Feature Learning Framework with Gradient Preference for
  Anomaly Detection
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
Muhao Xu
Xueying Zhou
Xizhan Gao
Wei-Xiong He
Sijie Niu
24
7
0
23 Apr 2022
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