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

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

25 September 2019

Nilesh A. Ahuja

Trushant Kalyanpur

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

13 / 13 papers shown

Title
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 42 4 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 45 0 0 10 Apr 2025
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 58 0 0 29 Mar 2024
Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation Mehdi Rafiei Alexandros Iosifidis 34 0 0 24 Nov 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Camara Gomes Marco Romanelli Georg Pichler Pablo Piantanida UQCV 48 5 0 02 Jun 2023
FRE: A Fast Method For Anomaly Detection And Segmentation I. Ndiour Nilesh A. Ahuja Ergin Utku Genc Omesh Tickoo 53 2 0 23 Nov 2022
Interpreting deep learning output for out-of-distribution detection Damian J. Matuszewski I. Sintorn OODD 37 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 34 11 0 14 Oct 2022
Anomalib: A Deep Learning Library for Anomaly Detection S. Akçay Dick Ameln Ashwin Vaidya B. Lakshmanan Nilesh A. Ahuja Ergin Utku Genc 38 109 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 31 1 0 13 Sep 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 25 18 0 19 May 2021
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Yue Liu P. Varshney D. Song AAML 28 47 0 16 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015