Anomaly Detection under Distribution Shift

24 March 2023

Papers citing "Anomaly Detection under Distribution Shift"

21 / 21 papers shown

Title
Subject Information Extraction for Novelty Detection with Domain Shifts Yangyang Qu Dazhi Fu Jicong Fan OOD 54 0 0 30 Apr 2025
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
Language-Assisted Feature Transformation for Anomaly Detection EungGu Yun Heonjin Ha Yeongwoo Nam Bryan Dongik Lee 58 0 0 03 Mar 2025
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity Nesryne Mejri Enjie Ghorbel Anis Kacem Pavel Chernakov Niki Maria Foteinopoulou Djamila Aouada 34 0 0 28 Feb 2025
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection Yiyue Li Shaoting Zhang Kang Li Qicheng Lao 59 0 0 03 Feb 2025
ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift Hossein Kashiani Niloufar Alipour Talemi Fatemeh Afghah 83 2 0 25 Nov 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao Weiming Liu Pengyang Zhou Fengyuan Yu Jiahe Xu Jun Wang Wenjie Wang Chaochao Chen Xiaolin Zheng FedML OODD 33 2 0 15 Oct 2024
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection Jiawen Zhu Yew-Soon Ong Chunhua Shen Guansong Pang 18 1 0 14 Oct 2024
On The Relationship between Visual Anomaly-free and Anomalous Representations Riya Sadrani Hrishikesh Sharma Ayush Bachan 28 0 0 09 Oct 2024
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection Qihang Zhou Jiangtao Yan Shibo He Wenchao Meng Jiming Chen 3DPC 19 6 0 01 Oct 2024
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features Luc P.J. Strater Mohammadreza Salehi E. Gavves Cees G. M. Snoek Yuki M. Asano 28 7 0 17 Jul 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 35 9 0 27 May 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection Junzhuo Chen Shitong Kang 26 0 0 10 May 2024
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark Jiang-She Zhang Chengjie Wang Xiangtai Li Guanzhong Tian Zhucun Xue Yong Liu Guansong Pang Dacheng Tao 49 4 0 16 Apr 2024
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts Jiawen Zhu Guansong Pang VLM 53 14 0 11 Mar 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection Jingyi Liao Xun Xu Manh Cuong Nguyen A. Goodge Chuan-Sheng Foo 18 9 0 29 Feb 2024
Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection Jianjian Qin Chunzhi Gu Junzhou Yu Chao Zhang 20 1 0 30 Nov 2023
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection Qihang Zhou Guansong Pang Yu Tian Shibo He Jiming Chen VLM 15 120 0 29 Oct 2023
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection Jiawen Zhu Choubo Ding Yu Tian Guansong Pang 24 12 0 19 Oct 2023
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang Aston Zhang Yi Zhu Shuai Zheng Mu Li Alexander J. Smola Zhangyang Wang OODD 122 48 0 04 Jul 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 101 299 0 26 Jan 2022