Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection

25 September 2019

Papers citing "Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection"

24 / 24 papers shown

Title
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 137 9 0 14 May 2025
Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imagery Angelina Ibarra Joshua Peeples 182 0 0 10 Apr 2025
A Photorealistic Dataset and Vision-Based Algorithm for Anomaly Detection During Proximity Operations in Lunar Orbit Selina Leveugle Chang Won Lee Svetlana Stolpner Chris Langley Paul Grouchy Steven Waslander Jonathan Kelly 166 1 0 30 Sep 2024
Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection Yiheng Zhang Yunkang Cao Tianhang Zhang Nong Sang 102 2 0 07 Jun 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 128 0 0 29 Mar 2024
Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation Mehdi Rafiei Alexandros Iosifidis 150 1 0 24 Nov 2023
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction Julian Wiederer Julian Schmidt U. Kressel Klaus C. J. Dietmayer Vasileios Belagiannis UQCV 171 10 0 03 Aug 2023
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection Eduardo Dadalto Camara Gomes Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 435 2 0 06 Jun 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Camara Gomes Marco Romanelli Georg Pichler Pablo Piantanida UQCV 158 6 0 02 Jun 2023
FRE: A Fast Method For Anomaly Detection And Segmentation I. Ndiour Nilesh A. Ahuja Ergin Utku Genc Omesh Tickoo 144 4 0 23 Nov 2022
Interpreting deep learning output for out-of-distribution detection Damian J. Matuszewski I. Sintorn OODD 90 1 0 07 Nov 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 236 18 0 14 Oct 2022
The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization L. Bonfiglioli Marco Toschi Davide Silvestri Nicola Fioraio Daniele De Gregorio 149 51 0 10 Oct 2022
Anomalib: A Deep Learning Library for Anomaly Detection S. Akçay Dick Ameln Ashwin Vaidya B. Lakshmanan Nilesh A. Ahuja Ergin Utku Genc 159 128 0 16 Feb 2022
Robust Contrastive Active Learning with Feature-guided Query Strategies R. Krishnan Nilesh A. Ahuja Alok Sinha Mahesh Subedar Omesh Tickoo Ravi Iyer 130 2 0 13 Sep 2021
Mitigating Sampling Bias and Improving Robustness in Active Learning R. Krishnan Alok Sinha Nilesh A. Ahuja Mahesh Subedar Omesh Tickoo R. Iyer 101 9 0 13 Sep 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang Huishuai Zhang Di He Yinpeng Dong Hang Su Wei Chen Jun Zhu Tie-Yan Liu AAML 85 19 0 31 May 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 122 18 0 19 May 2021
Energy-Based Anomaly Detection and Localization Ergin Utku Genc Nilesh A. Ahuja I. Ndiour Omesh Tickoo 72 6 0 07 May 2021
Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features I. Ndiour Nilesh A. Ahuja Omesh Tickoo OODD 88 29 0 08 Dec 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 207 269 0 15 Nov 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Yue Liu P. Varshney Basel Alomair AAML 217 47 0 16 Mar 2020
Why is the Mahalanobis Distance Effective for Anomaly Detection? Ryo Kamoi Kei Kobayashi OODD 283 63 0 01 Mar 2020
Deep Probabilistic Models to Detect Data Poisoning Attacks Mahesh Subedar Nilesh A. Ahuja R. Krishnan I. Ndiour Omesh Tickoo AAML TDI 84 25 0 03 Dec 2019