Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

8 June 2017

Papers citing "Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks"

50 / 481 papers shown

Title
Continual Improvement of Threshold-Based Novelty Detection Abe Ejilemele Jorge Mendez-Mendez 40 0 0 05 Sep 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? Andrea Corsini S. Yang OODD AAML 23 7 0 28 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 53 0 0 26 Aug 2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression Xuanlong Yu Gianni Franchi Jindong Gu Emanuel Aldea UQCV 29 5 0 17 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 21 39 0 13 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Mais Al Taie J. Yung Tucker Netherton Ankit B. Patel Kristy K. Brock OOD 30 6 0 07 Aug 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 48 3 0 24 Jul 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers Jaeyoung Kim Kyuheon Jung Dongbin Na Sion Jang Eunbin Park Sungchul Choi OODD 41 6 0 18 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks M. Baran Joanna Baran Mateusz Wójcik Maciej Ziȩba Adam Gonczarek OODD 54 4 0 13 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 42 0 0 07 Jul 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds Tianqi Li Guansong Pang Xiao Bai Jingyi Zheng Lei Zhou Xin Ning VLM 45 28 0 07 Jul 2023
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts Johannes Jakubik Daniel Weber Patrick Hemmer Michael Vossing G. Satzger 34 2 0 06 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects J. Becktor Frederik E. T. Schöller Evangelos Boukas Lazaros Nalpantidis UQCV OOD 50 2 0 03 Jul 2023
Image Background Serves as Good Proxy for Out-of-distribution Data Sen Pei 44 2 0 02 Jul 2023
Beyond AUROC & co. for evaluating out-of-distribution detection performance Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD 22 4 0 26 Jun 2023
A Cosine Similarity-based Method for Out-of-Distribution Detection Nguyen Ngoc-Hieu Nguyen Hung-Quang The-Anh Ta Thanh Nguyen-Tang Khoa D. Doan Hoang Thanh-Tung OODD 24 2 0 23 Jun 2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn OOD 27 5 0 19 Jun 2023
Open Set Relation Extraction via Unknown-Aware Training Jun Zhao Xin Zhao Wenyu Zhan Qi Zhang Tao Gui Zhongyu Wei Yunwen Chen Xiang Gao Xuanjing Huang 38 1 0 08 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu Hengzhuang Li Jiangchao Yao Tongliang Liu Jianliang Xu Bo Han OODD 50 12 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 48 5 0 02 Jun 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 45 30 0 31 May 2023
Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models Yunhao Ge Jie Jessie Ren Jiaping Zhao Kaifeng Chen Andrew Gallagher Laurent Itti Balaji Lakshminarayanan VLM ObjD 26 1 0 26 May 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Daniel Gehrig Feng Yu ISeg 40 23 0 26 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 40 10 0 26 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 52 83 0 19 May 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 42 65 0 18 May 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery Shaozhe Hao Kai Han Kwan-Yee K. Wong 53 16 0 14 Apr 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 37 7 0 06 Apr 2023
Non-Generative Energy Based Models Jacob Piland Christopher Sweet Priscila Saboia Charles Vardeman A. Czajka 36 0 0 03 Apr 2023
Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection Noah Fleischmann Walter D. Bennette Nathan Inkawhich OODD 26 0 0 30 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 49 0 0 24 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
Confidence-Aware and Self-Supervised Image Anomaly Localisation Johanna P. Müller Matthew Baugh Jeremy Tan Mischa Dombrowski Bernhard Kainz UQCV OOD 31 4 0 23 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation Tomás Vojír Jan Sochman Rahaf Aljundi Juan E. Sala Matas OODD UQCV 32 6 0 23 Mar 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 45 33 0 23 Mar 2023
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection Puning Yang Jian Liang Jie Cao Ran He 41 12 0 22 Mar 2023
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking Ruixiang Tang Qizhang Feng Ninghao Liu Fan Yang Xia Hu 31 36 0 20 Mar 2023
A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition Nathan Inkawhich 16 14 0 20 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 37 3 0 14 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 29 12 0 13 Mar 2023
Toward Unsupervised Realistic Visual Question Answering Yuwei Zhang Chih-Hui Ho Nuno Vasconcelos CoGe 27 2 0 09 Mar 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 22 39 0 06 Mar 2023
Non-Parametric Outlier Synthesis Leitian Tao Xuefeng Du Xiaojin Zhu Yixuan Li OODD 33 98 0 06 Mar 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection Zhen Cheng Fei Zhu Xu-Yao Zhang Cheng-Lin Liu MoMe OODD 45 11 0 02 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach OODD 23 7 0 27 Feb 2023
Using Semantic Information for Defining and Detecting OOD Inputs Ramneet Kaur Xiayan Ji Souradeep Dutta Michele Caprio Yahan Yang E. Bernardis O. Sokolsky Insup Lee OODD 45 7 0 21 Feb 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness Javier Poyatos Daniel Molina Aitor Martínez Javier Del Ser Francisco Herrera 39 10 0 20 Feb 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya Zhang Ivor W. Tsang NoLa BDL 35 8 0 19 Feb 2023
Mutual Exclusive Modulator for Long-Tailed Recognition Haixu Long Xiaolin Zhang Yanbin Liu Zongtai Luo Jianbo Liu 19 2 0 19 Feb 2023
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection Mou-Yue Huang Yu Qiao 19 2 0 15 Feb 2023