v1v2 (latest)

Deep Semi-Supervised Anomaly Detection

6 June 2019

Lukas Ruff

Robert A. Vandermeulen

Papers citing "Deep Semi-Supervised Anomaly Detection"

50 / 267 papers shown

Title
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning Wei Luo Haiming Yao Yunkang Cao Qiyu Chen Ang Gao Weiming Shen Weihang Zhang 128 0 0 01 Jul 2025
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies Matthew Lau Tian-Yi Zhou Xiangchi Yuan Jizhou Chen Wenke Lee Xiaoming Huo 34 0 0 16 Jun 2025
Serial-OE: Anomalous sound detection based on serial method with outlier exposure capable of using small amounts of anomalous data for training Ibuki Kuroyanagi Tomoki Hayashi K. Takeda Tomoki Toda 53 1 0 25 May 2025
Anomaly Detection Based on Critical Paths for Deep Neural Networks Fangzhen Zhao Chenyi Zhang Naipeng Dong Ming Li Jinxiao Shan AAML 39 0 0 20 May 2025
Unsupervised Surrogate Anomaly Detection Simon Klüttermann Tim Katzke Emmanuel Müller 47 0 0 29 Apr 2025
Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery Rupak Bose C. Nwoye Jorge Lazo Joël L. Lavanchy N. Padoy 75 0 0 23 Apr 2025
Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections Alireza Salehi Mohammadreza Salehi Reshad Hosseini Cees G. M. Snoek Makoto Yamada Mohammad Sabokrou VLM 95 0 0 15 Apr 2025
Strengthening Anomaly Awareness Adam Banda Charanjit K. Khosa V. Sanz 69 0 0 15 Apr 2025
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection Aimira Baitieva Yacine Bouaouni Alexandre Briot Dick Ameln Souhaiel Khalfaoui S. Akçay 97 0 0 30 Mar 2025
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains Vincent Jacob Y. Diao AI4TS 104 0 0 29 Mar 2025
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures Giovanni Floreale Piero Baraldi Enrico Zio Olga Fink 83 0 0 19 Mar 2025
DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection Jaewoo Song Daemin Park Kanghyun Baek Sangyub Lee Jooyoung Choi Eunji Kim Sungroh Yoon 217 0 0 18 Mar 2025
Achieving Unbiased Multi-Instance Learning via Balanced Fine-Grained Positive-Unlabeled Learning Lin-Han Jia Lan-Zhe Guo Zhi Zhou Si-Ye Han Zi-Wen Li Yu-Feng Li 76 0 0 17 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 78 0 0 09 Mar 2025
Language-Assisted Feature Transformation for Anomaly Detection EungGu Yun Heonjin Ha Yeongwoo Nam Bryan Dongik Lee 163 1 0 03 Mar 2025
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Dong Chen Zhengqing Hu Peiguang Fan Yueting Zhuang Yafei Li Qidong Liu Xiaoheng Jiang Mingliang Xu VLM 104 0 0 14 Feb 2025
Deep evolving semi-supervised anomaly detection Jack Belham Aryan Bhosale Samrat Mukherjee Biplab Banerjee Fabio Cuzzolin 123 0 0 01 Dec 2024
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection Hwan Kim Junghoon Kim Sungsu Lim 57 0 0 27 Oct 2024
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection Jiawen Zhu Yew-Soon Ong Chunhua Shen Guansong Pang 69 1 0 14 Oct 2024
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection Yuanyi Wang Haifeng Sun Chengsen Wang Mengde Zhu Jingyu Wang Wei Tang Q. Qi Zirui Zhuang Jianxin Liao AI4TS 77 4 0 11 Oct 2024
Constraint Guided AutoEncoders for Joint Optimization of Condition Indicator Estimation and Anomaly Detection in Machine Condition Monitoring Maarten Meire Quinten Van Baelen Ted Ooijevaar P. Karsmakers CML 64 0 0 18 Sep 2024
Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic Anomalies Hyuntae Kim Changhee Lee AAML 62 2 0 16 Sep 2024
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice Tian-Yi Zhou Matthew Lau Jizhou Chen Wenke Lee Xiaoming Huo 85 1 0 13 Sep 2024
Class-aware and Augmentation-free Contrastive Learning from Label Proportion Jialiang Wang Ning Zhang Shimin Di Ruidong Wang Lei Chen 43 0 0 13 Aug 2024
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection Blaž Rolih Matic Fučka Danijel Skočaj 92 4 0 06 Aug 2024
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection Jihun Yi Sungroh Yoon 66 1 0 06 Aug 2024
When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection Adam Goodge Bryan Hooi Wee Siong Ng 68 0 0 24 Jul 2024
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection Yunkang Cao Jiangning Zhang Luca Frittoli Yuqi Cheng Nong Sang Giacomo Boracchi VLM 115 43 0 22 Jul 2024
Chromosomal Structural Abnormality Diagnosis by Homologous Similarity Juren Li Fanzhe Fu Ran Wei Yifei Sun Zeyu Lai Ning Song Xin Chen Yang Yang 103 1 0 11 Jul 2024
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning Zhu Wang Shuang Zhou Junnan Dong Chang Yang Xiao Huang Shengjie Zhao 89 1 0 08 Jul 2024
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection Chunjing Xiao Shikang Pang Xovee Xu Xuan Li Goce Trajcevski Fan Zhou DiffM 78 8 0 02 Jul 2024
SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder A. Pollastro Francesco Isgrò R. Prevete 97 2 0 25 Jun 2024
AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics Jonas Dippel Niklas Prenißl Julius Hense Philipp Liznerski Tobias Winterhoff ... David Horst Maximilian Alber Lukas Ruff Klaus-Robert Müller Frederick Klauschen 92 5 0 21 Jun 2024
Weakly-supervised anomaly detection for multimodal data distributions Xu Tan Junqi Chen Sylwan Rahardja Jiawei Yang Susanto Rahardja 62 1 0 13 Jun 2024
Anomaly Detection by Context Contrasting Alain Ryser Thomas M. Sutter Alexander Marx Julia E. Vogt 92 0 0 29 May 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 140 1 0 29 May 2024
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong Yue Zhao Eleni Chatzi Olga Fink OODD 85 18 0 27 May 2024
ReMoDetect: Reward Models Recognize Aligned LLM's Generations Hyunseok Lee Jihoon Tack Jinwoo Shin DeLMO 65 1 0 27 May 2024
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection Yifeng Peng Xinyi Li Zhiding Liang Ying Wang 85 0 0 25 May 2024
Deep Multi-Manifold Transformation Based Multivariate Time Series Fault Detection Hong Liu Xiuxiu Qiu Yiming Shi Miao Xu Z. Zang Zhen Lei 82 0 0 25 May 2024
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring Hao Fu Naman Patel Prashanth Krishnamurthy Farshad Khorrami OODD 72 5 0 23 May 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 135 8 0 23 May 2024
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior Lorenzo Perini Maja R. Rudolph Sabrina Schmedding Chen Qiu 132 1 0 22 May 2024
Automated Anomaly Detection on European XFEL Klystrons Antonin Sulc Annika Eichler T. Wilksen 18 0 0 20 May 2024
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systems Franz Kevin Stehle W. Vandelli G. Avolio Felix Zahn Holger Fröning 47 2 0 13 May 2024
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals Xiangwei Chen Ruliang Xiao Zhixia Zeng Zhipeng Qiu Shi Zhang Xin Du 75 0 0 11 May 2024
Supervised Anomaly Detection for Complex Industrial Images Aimira Baitieva David Hurych Victor Besnier Olivier Bernard 97 6 0 08 May 2024
About Test-time training for outlier detection Simon Klüttermann Emmanuel Müller 42 1 0 04 Apr 2024
LLM meets Vision-Language Models for Zero-Shot One-Class Classification Yassir Bendou G. Lioi Bastien Pasdeloup Lukas Mauch G. B. Hacene Fabien Cardinaux Vincent Gripon VLM MLLM 89 1 0 31 Mar 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari Brendan Leigh Ross Jesse C. Cresswell M. Volkovs Rahul G. Krishnan Gabriel Loaiza-Ganem OODD 101 12 0 27 Mar 2024