CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization

9 June 2022

Papers citing "CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization"

24 / 24 papers shown

Title
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 34 4 0 14 May 2025
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression Arianna Stropeni Francesco Borsatti Manuel Barusco Davide Dalle Pezze Marco Fabris Gian Antonio Susto 21 0 0 11 May 2025
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects Paul J. Krassnig Dieter P. Gruber 157 0 0 06 Mar 2025
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
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
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis Brian K. S. Isaac-Medina Yona Falinie A. Gaus Neelanjan Bhowmik T. Breckon 28 2 0 22 Jul 2024
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis Subin Varghese Vedhus Hoskere 44 0 0 26 Jun 2024
Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images Sukanya Patra Nicolas Sournac Souhaib Ben Taieb 39 1 0 23 Jun 2024
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 67 8 0 23 May 2024
Fractals as Pre-training Datasets for Anomaly Detection and Localization C. Ugwu S. Casarin Oswald Lanz 32 0 0 11 May 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 43 6 0 29 Mar 2024
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection Soopil Kim Sion An Philip Chikontwe Myeongkyun Kang Ehsan Adeli K. Pohl Sanghyun Park 21 17 0 21 Dec 2023
Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation Mehdi Rafiei Alexandros Iosifidis 24 0 0 24 Nov 2023
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
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models Zhaopeng Gu Bingke Zhu Guibo Zhu Yingying Chen Ming Tang Jinqiao Wang VLM MLLM 25 100 0 29 Aug 2023
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection Yiming Huang Guo-Shuai Liu Yaoru Luo Ge Yang OOD MedIm 21 2 0 29 Aug 2023
MixedTeacher : Knowledge Distillation for fast inference textural anomaly detection Simon Thomine H. Snoussi Mahmoud Soua 23 5 0 16 Jun 2023
FABLE : Fabric Anomaly Detection Automation Process Simon Thomine H. Snoussi Mahmoud Soua 19 5 0 16 Jun 2023
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis Andrei-Timotei Ardelean Tim Weyrich 39 4 0 13 Apr 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection Hui Zhang Zheng Wang Dan Zeng Zuxuan Wu Yu-Gang Jiang DiffM 39 24 0 15 Mar 2023
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 Matías Tailanián Álvaro Pardo Pablo Musé 30 18 0 22 Nov 2022
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection Neelu Madan Nicolae-Cătălin Ristea Radu Tudor Ionescu Kamal Nasrollahi F. Khan T. Moeslund M. Shah ViT MedIm 258 61 0 25 Sep 2022
Self-Supervised Training with Autoencoders for Visual Anomaly Detection Alexander Bauer Shinichi Nakajima Klaus-Robert Müller 19 9 0 23 Jun 2022