Deep Nearest Neighbor Anomaly Detection

24 February 2020

Papers citing "Deep Nearest Neighbor Anomaly Detection"

50 / 84 papers shown

Title
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey Haoqi Huang Ping Wang Jianhua Pei Jiacheng Wang Shahen Alexanian Dusit Niyato AAML 72 0 0 17 Mar 2025
Statistically Significant $k$ NNAD by Selective Inference Mizuki Niihori Teruyuki Katsuoka Tomohiro Shiraishi Shuichi Nishino Ichiro Takeuchi 91 1 0 18 Feb 2025
PDA: Generalizable Detection of AI-Generated Images via Post-hoc Distribution Alignment Li Wang Wenyu Chen Zheng Li Shanqing Guo 38 0 0 15 Feb 2025
Killing it with Zero-Shot: Adversarially Robust Novelty Detection Hossein Mirzaei Mohammad Jafari Hamid Reza Dehbashi Zeinab Sadat Taghavi Mohammad Sabokrou M. Rohban 69 1 0 28 Jan 2025
Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection Mohammadreza Salehi Nikolaos Apostolikas E. Gavves Cees G. M. Snoek Yuki M. Asano ObjD 82 0 0 15 Dec 2024
ResAD: A Simple Framework for Class Generalizable Anomaly Detection Xincheng Yao Z. Chen Chao Gao Guangtao Zhai Chongyang Zhang 24 0 0 26 Oct 2024
Universal Novelty Detection Through Adaptive Contrastive Learning Hossein Mirzaei Mojtaba Nafez Mohammad Jafari Mohammad Bagher Soltani Mohammad Azizmalayeri Jafar Habibi Mohammad Sabokrou M. Rohban 18 4 0 20 Aug 2024
Towards flexible perception with visual memory Robert Geirhos P. Jaini Austin Stone Sourabh Medapati Xi Yi G. Toderici Abhijit Ogale Jonathon Shlens 42 1 0 15 Aug 2024
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection Jihun Yi Sungroh Yoon 24 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 35 0 0 24 Jul 2024
Looking for Tiny Defects via Forward-Backward Feature Transfer Alex Costanzino Pierluigi Zama Ramirez Giuseppe Lisanti Luigi Di Stefano 37 0 0 04 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 42 1 0 04 Jul 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 32 4 0 21 Jun 2024
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation Mohammad Akhavan Anvari Rojina Kashefi Vahid Reza Khazaie Mohammad Khalooei Mohammad Sabokrou 42 0 0 15 Jun 2024
Continual Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 33 0 0 04 Jun 2024
Anomaly Detection by Context Contrasting Alain Ryser Thomas M. Sutter Alexander Marx Julia E. Vogt 43 0 0 29 May 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 51 3 0 23 May 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection Junzhuo Chen Shitong Kang 36 0 0 10 May 2024
Few-shot Online Anomaly Detection and Segmentation Shenxing Wei Xing Wei Zhiheng Ma Songlin Dong Shaochen Zhang Yihong Gong 33 8 0 27 Mar 2024
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection Xincheng Yao Ruoqing Li Zefeng Qian Lu Wang Chongyang Zhang 14 9 0 20 Mar 2024
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification L. E. Hogeweg R. Gangireddy D. Brunink Vincent J. Kalkman L. Cornelissen J. W. Kamminga OODD 27 6 0 11 Mar 2024
Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model Sang-Il Park Yong Bae Kim J. Chang Seo Hee Choi Hyungjin Chung Ik-jae Lee H. Byun DiffM MedIm 22 0 0 28 Feb 2024
Understanding normalization in contrastive representation learning and out-of-distribution detection T. L. Gia Jaehyun Ahn OODD 30 1 0 23 Dec 2023
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping Alex Costanzino Pierluigi Zama Ramirez Giuseppe Lisanti Luigi Di Stefano 19 10 0 07 Dec 2023
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection Felix Meissen Johannes Getzner Alexander Ziller Georgios Kaissis Daniel Rueckert OODD AI4TS 19 0 0 06 Dec 2023
Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection S. Sivaprasad Mario Fritz AAML 21 0 0 01 Oct 2023
Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization Katsuya Hotta Chao Zhang Yoshihiro Hagihara T. Akashi 27 2 0 25 Sep 2023
Understanding the limitations of self-supervised learning for tabular anomaly detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin SSL 29 0 0 15 Sep 2023
CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification Zilong Zhang Zhibin Zhao Deyu Meng Xingwu Zhang Xuefeng Chen VLM 19 1 0 04 Sep 2023
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection Yixuan Zhou Xing Xu Jingkuan Song Fumin Shen Hengtao Shen AI4CE 23 16 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 16 2 0 29 Aug 2023
REB: Reducing Biases in Representation for Industrial Anomaly Detection Shuai Lyu Dongmei Mo W. Wong 27 12 0 24 Aug 2023
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection Xincheng Yao Ruoqing Li Zefeng Qian Yan Luo Chongyang Zhang 11 22 0 06 Aug 2023
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection Yujin Lee Harin Lim Seoyoon Jang H. Yoon 26 4 0 24 Jul 2023
Representation Learning in Anomaly Detection: Successes, Limits and a Grand Challenge Yedid Hoshen UQCV 16 0 0 20 Jul 2023
Improving Selective Visual Question Answering by Learning from Your Peers Corentin Dancette Spencer Whitehead Rishabh Maheshwary Ramakrishna Vedantam Stefan Scherer Xinlei Chen Matthieu Cord Marcus Rohrbach AAML OOD 38 16 0 14 Jun 2023
Improving neural network representations using human similarity judgments Lukas Muttenthaler Lorenz Linhardt Jonas Dippel Robert A. Vandermeulen Katherine L. Hermann Andrew Kyle Lampinen Simon Kornblith 40 29 0 07 Jun 2023
k-NNN: Nearest Neighbors of Neighbors for Anomaly Detection Ori Nizan A. Tal 15 7 0 28 May 2023
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection Jeeho Hyun Sangyun Kim Giyoung Jeon Seung Hwan Kim Kyunghoon Bae Byungjin Kang UQCV 28 39 0 26 May 2023
Anomaly Detection with Conditioned Denoising Diffusion Models Arian Mousakhan Thomas Brox Jawad Tayyub DiffM 18 47 0 25 May 2023
A Probabilistic Transformation of Distance-Based Outliers David Muhr M. Affenzeller Josef Küng 19 11 0 16 May 2023
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis Andrei-Timotei Ardelean Tim Weyrich 33 4 0 13 Apr 2023
Deep Industrial Image Anomaly Detection: A Survey Jiaqi Liu Guoyang Xie Jingbao Wang Shangwen Li Chengjie Wang Feng Zheng Yaochu Jin 24 172 0 27 Jan 2023
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models Albert Xu Xiang Ren Robin Jia OODD 22 2 0 28 Nov 2022
Normalizing Flows for Human Pose Anomaly Detection Or Hirschorn S. Avidan 3DH 14 46 0 20 Nov 2022
Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection Vahid Reza Khazaie Anthony C. Wong Mohammad Sabokrou OODD 10 2 0 20 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 27 0 0 16 Nov 2022
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language David Muhr M. Affenzeller Anthony D. Blaom 25 3 0 08 Nov 2022
N-pad : Neighboring Pixel-based Industrial Anomaly Detection Junkyu Jang Eugene Hwang Sung-Hyuk Park 23 20 0 17 Oct 2022
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development I. Zingman B. Stierstorfer C. Lempp Fabian Heinemann OOD MedIm 27 11 0 14 Oct 2022