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. 2505.09264
  4. Cited By
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt

Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt

14 May 2025
Bin-Bin Gao
ArXivPDFHTML

Papers citing "Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt"

4 / 4 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
Wenbo Zhang
Meng Wang
Jun Liu
Yong-Jin Liu
L. Wang
Chengjie Wang
VLM
41
0
0
15 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Bin-Bin Gao
VLM
25
0
0
14 May 2025
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection
Haoyu Bai
Jie Wang
Gaomin Li
Xianrui Li
Xiaohu Zhang
Xia Yang
41
0
0
06 May 2025
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