Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

26 February 2020

Papers citing "Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data"

47 / 97 papers shown

Title
Interpreting deep learning output for out-of-distribution detection Damian J. Matuszewski I. Sintorn OODD 22 1 0 07 Nov 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 28 122 0 26 Oct 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers Stefan Larson Gordon Lim Yutong Ai David Kuang Kevin Leach OODD OOD 29 18 0 14 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X Yi Zhou Renyu Li Hayden Housen Ser-Nam Lim BDL 25 0 0 05 Oct 2022
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier Harshita Boonlia T. Dam Md Meftahul Ferdaus S. Anavatti Ankan Mullick OODD 14 4 0 07 Sep 2022
Unifying Evaluation of Machine Learning Safety Monitors Joris Guérin Raul Sena Ferreira Kevin Delmas Jérémie Guiochet 30 10 0 31 Aug 2022
Constraining Representations Yields Models That Know What They Don't Know João Monteiro Pau Rodríguez López Pierre-Andre Noel I. Laradji David Vazquez AAML 31 0 0 30 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection Abhishek Joshi Sathish Chalasani K. N. Iyer OODD 16 4 0 23 Aug 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Hongliang Li Lin Ma Wei Emma Zhang 22 6 0 19 Jul 2022
Data-Efficient Learning via Minimizing Hyperspherical Energy Xiaofeng Cao Weiyang Liu Ivor W. Tsang 14 8 0 30 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection Wenyu Jiang Yuxin Ge Hao Cheng Mingcai Chen Shuai Feng Chongjun Wang OODD 19 10 0 15 Jun 2022
No GPU? No problem: an ultra fast 3D detection of road users with a simple proposal generator and energy-based out-of-distribution PointNets Alvari Seppänen Eerik Alamikkotervo Risto Ojala Giacomo Dario Kari Tammi 3DPC 20 0 0 06 Jun 2022
Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating David Macêdo Cleber Zanchettin Teresa B Ludermir UQCV 20 4 0 12 May 2022
Norm-Scaling for Out-of-Distribution Detection Deepak Ravikumar Kaushik Roy OODD UQCV 11 2 0 06 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 19 485 0 13 Apr 2022
Effective Out-of-Distribution Detection in Classifier Based on PEDCC-Loss Qiuyu Zhu Guohui Zheng Yingying Yan OODD 14 7 0 10 Apr 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Umar Khalid Ashkan Esmaeili Nazmul Karim Nazanin Rahnavard OODD 37 12 0 06 Apr 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming Yiyou Sun Ousmane Amadou Dia Yixuan Li OODD 22 94 0 08 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 32 89 0 08 Mar 2022
Training OOD Detectors in their Natural Habitats Julian Katz-Samuels Julia B. Nakhleh Robert D. Nowak Yixuan Li OODD 24 88 0 07 Feb 2022
Out of Distribution Detection on ImageNet-O Anugya Srivastava S. Jain Mugdha Thigle OOD 49 5 0 23 Jan 2022
Discrete neural representations for explainable anomaly detection Stanislaw Szymanowicz James Charles R. Cipolla AAML AI4TS FAtt 19 20 0 10 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 17 453 0 24 Nov 2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data Junjiao Tian Yen-Change Hsu Yilin Shen Hongxia Jin Z. Kira OODD 19 6 0 28 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 873 0 21 Oct 2021
Natural Attribute-based Shift Detection Jeonghoon Park Jimin Hong Radhika Dua Daehoon Gwak Yixuan Li Jaegul Choo E. Choi OOD 25 3 0 18 Oct 2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement Uddeshya Upadhyay Viswanath P. Sudarshan Suyash P. Awate MedIm 41 21 0 07 Oct 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 30 16 0 20 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 151 74 0 12 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 19 21 0 12 Sep 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 18 11 0 23 Aug 2021
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains Molly O'Brien Michael Medoff Julia V. Bukowski Gregory Hager OOD 13 3 0 17 Aug 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 132 30 0 13 Aug 2021
M2IOSR: Maximal Mutual Information Open Set Recognition Xin Sun Henghui Ding Chi Zhang Guosheng Lin K. Ling 18 17 0 05 Aug 2021
On the Importance of Regularisation & Auxiliary Information in OOD Detection John Mitros Brian Mac Namee 11 2 0 15 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 30 1,108 0 07 Jul 2021
HODA: Hardness-Oriented Detection of Model Extraction Attacks A. M. Sadeghzadeh Amir Mohammad Sobhanian F. Dehghan R. Jalili MIACV 9 7 0 21 Jun 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? Weijian Deng Stephen Gould Liang Zheng 9 62 0 10 Jun 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 31 235 0 05 May 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 18 114 0 30 Apr 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems Shohei Enomoto Takeharu Eda UQCV 34 17 0 15 Apr 2021
A statistical framework for efficient out of distribution detection in deep neural networks Matan Haroush Tzviel Frostig R. Heller Daniel Soudry OODD 17 36 0 25 Feb 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 25 1,291 0 08 Oct 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 11 235 0 28 May 2020
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 4 31 0 15 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015