v1v2v3 (latest)

Detecting semantic anomalies

13 August 2019

Aaron Courville

Papers citing "Detecting semantic anomalies"

49 / 49 papers shown

Title
Odd-One-Out: Anomaly Detection by Comparing with Neighbors A. Bhunia Changjian Li Hakan Bilen 148 0 0 28 Jun 2024
Looking 3D: Anomaly Detection with 2D-3D Alignment A. Bhunia Changjian Li Hakan Bilen 92 4 0 27 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 75 9 0 28 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey Zesheng Hong Yubiao Yue Yubin Chen Lele Cong Huanjie Lin ... Jialong Xu Xiaoqi Yang Hechang Chen Zhenzhang Li Sihong Xie OOD 75 7 0 28 Apr 2024
Toward a Realistic Benchmark for Out-of-Distribution Detection Pietro Recalcati Fabio Garcea Luca Piano Fabrizio Lamberti Lia Morra OODD 151 1 0 16 Apr 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 89 0 0 29 Mar 2024
Anomaly Detection Based on Isolation Mechanisms: A Survey Yang Cao Haolong Xiang Hang Zhang Ye Zhu Kai Ming Ting OOD 79 3 0 16 Mar 2024
A Closer Look at AUROC and AUPRC under Class Imbalance Matthew B. A. McDermott Lasse Hyldig Hansen Haoran Zhang Giovanni Angelotti Jack Gallifant 170 40 0 11 Jan 2024
Understanding normalization in contrastive representation learning and out-of-distribution detection T. L. Gia Jaehyun Ahn OODD 80 2 0 23 Dec 2023
Environment-biased Feature Ranking for Novelty Detection Robustness Stefan Smeu Elena Burceanu Emanuela Haller Andrei Liviu Nicolicioiu OOD 87 0 0 21 Sep 2023
CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification Zilong Zhang Zhibin Zhao Deyu Meng Xingwu Zhang Xuefeng Chen VLM 51 1 0 04 Sep 2023
No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection Tal Reiss Niv Cohen Yedid Hoshen UQCV 102 5 0 12 Jun 2023
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection Jingyang Zhang Nathan Inkawhich Randolph Linderman R. Luley Yiran Chen H. Li OODD 71 1 0 25 Mar 2023
Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features Sishuo Chen Wenkai Yang Xiaohan Bi Xu Sun OODD 60 15 0 30 Jan 2023
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 103 38 0 28 Nov 2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection Pierre Colombo Eduardo Dadalto Camara Gomes Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 102 5 0 24 Nov 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges Taoli Cheng UQCV OOD AI4CE 61 2 0 24 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection Jingkang Yang Pengyun Wang Dejian Zou Zitang Zhou Kun Ding ... Kaiyang Zhou Wayne Zhang Dan Hendrycks Yixuan Li Ziwei Liu OODD 93 245 0 13 Oct 2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman Jingyang Zhang Nathan Inkawhich H. Li Yiran Chen OODD 175 7 0 09 Sep 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring Nandita Bhaskhar D. Rubin Christopher Lee-Messer 27 5 0 22 Jul 2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection Wenyu Jiang Yuxin Ge Hao Cheng Mingcai Chen Shuai Feng Chongjun Wang OODD 113 12 0 15 Jun 2022
A Unified Model for Multi-class Anomaly Detection Zhiyuan You Lei Cui Yujun Shen Kai Yang Xin Lu Yu Zheng Xinyi Le 82 230 0 08 Jun 2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft UQCV 129 45 0 23 May 2022
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 88 30 0 08 Dec 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 51 6 0 26 Nov 2021
Improving Novelty Detection using the Reconstructions of Nearest Neighbours Michael Mesarcik E. Ranguelova A. Boonstra Rob van Nieuwpoort 46 5 0 11 Nov 2021
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 47 6 0 28 Oct 2021
Multi-Class Anomaly Detection Suresh Singh Minwei Luo Yu Li 48 1 0 28 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 162 199 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 309 952 0 21 Oct 2021
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 279 101 0 14 Sep 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang OODD 70 25 0 12 Sep 2021
On the Out-of-distribution Generalization of Probabilistic Image Modelling Mingtian Zhang Andi Zhang Jingyu Sun OODD 146 45 0 04 Sep 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue Keke Tang Dingruibo Miao Weilong Peng Jianpeng Wu Yawen Shi Zhaoquan Gu Zhihong Tian Wenping Wang OODD 203 31 0 13 Aug 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 104 19 0 09 Aug 2021
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments Jingyang Zhang Nathan Inkawhich Randolph Linderman Yiran Chen H. Li OODD 92 58 0 07 Jun 2021
Mean-Shifted Contrastive Loss for Anomaly Detection Tal Reiss Yedid Hoshen 81 118 0 07 Jun 2021
Comparison of Anomaly Detectors: Context Matters V. Škvára Jan Francå Matěj Zorek Tomás Pevný Václav Smídl 62 9 0 11 Dec 2020
Unsupervised Anomaly Detection From Semantic Similarity Scores Nima Rafiee Rahil Gholamipoor M. Kollmann OODD 34 2 0 01 Dec 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 84 4 0 05 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 148 806 0 24 Sep 2020
On the Nature and Types of Anomalies: A Review of Deviations in Data Ralph Foorthuis 111 89 0 30 Jul 2020
A General Framework For Detecting Anomalous Inputs to DNN Classifiers Jayaram Raghuram Varun Chandrasekaran S. Jha Suman Banerjee AAML 106 35 0 29 Jul 2020
A Benchmark of Medical Out of Distribution Detection Tianshi Cao Chinwei Huang D. Y. Hui Joseph Paul Cohen OOD 85 59 0 08 Jul 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 160 241 0 28 May 2020
Deep Nearest Neighbor Anomaly Detection Liron Bergman Niv Cohen Yedid Hoshen UQCV 111 161 0 24 Feb 2020
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 103 63 0 11 Dec 2019
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection David Zimmerer Jens Petersen Klaus Maier-Hein DRL 42 7 0 27 Nov 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 293 1,486 0 16 Jul 2019