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
Unsupervised Class-Incremental Learning Through Confusion Shivam Khare Kun Cao James M. Rehg SSL CLL 24 6 0 09 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions Abhijit Guha Roy Jie Jessie Ren Shekoofeh Azizi Aaron Loh Vivek Natarajan ... Yun-Hui Liu taylan. cemgil Alan Karthikesalingam Balaji Lakshminarayanan Jim Winkens 18 104 0 08 Apr 2021
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 22 212 0 07 Apr 2021
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation J. Song Kyeongbo Kong Ye In Park Suk-Ju Kang 19 3 0 31 Mar 2021
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks Jens Henriksson C. Berger Markus Borg Lars Tornberg S. Sathyamoorthy Cristofer Englund OODD 22 17 0 29 Mar 2021
Elsa: Energy-based learning for semi-supervised anomaly detection Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 35 12 0 29 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 31 332 0 22 Mar 2021
Collective Decision of One-vs-Rest Networks for Open Set Recognition Jaeyeon Jang Chang Ouk Kim 40 25 0 18 Mar 2021
Loss Estimators Improve Model Generalization V. Narayanaswamy Jayaraman J. Thiagarajan Deepta Rajan A. Spanias OOD UQCV 29 0 0 05 Mar 2021
Towards Open World Object Detection K. J. Joseph Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD 30 448 0 03 Mar 2021
A statistical framework for efficient out of distribution detection in deep neural networks Matan Haroush Tzviel Frostig R. Heller Daniel Soudry OODD 27 37 0 25 Feb 2021
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks Apoorva Sharma Navid Azizan Marco Pavone UQCV 36 45 0 24 Feb 2021
FINE Samples for Learning with Noisy Labels Taehyeon Kim Jongwoo Ko Sangwook Cho J. Choi Se-Young Yun NoLa 38 103 0 23 Feb 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip Torr Y. Gal UD UQCV PER BDL 37 146 0 23 Feb 2021
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss Michael L. Iuzzolino Michael C. Mozer Samy Bengio OOD 20 11 0 19 Feb 2021
Self-Supervised Features Improve Open-World Learning A. Dhamija T. Ahmad Jonathan Schwan Mohsen Jafarzadeh Chunchun Li Terrance E. Boult SSL 32 13 0 15 Feb 2021
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches Jasmin Breitenstein Jan-Aike Termöhlen Daniel Lipinski Tim Fingscheidt AAML 30 35 0 11 Feb 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 56 51 0 14 Jan 2021
An evaluation of word-level confidence estimation for end-to-end automatic speech recognition Dan Oneaţă Alexandru Caranica Adriana Stan H. Cucu UQCV 37 25 0 14 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 25 3 0 07 Jan 2021
Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models Alina Roitberg Monica Haurilet Manuel Martínez Rainer Stiefelhagen UQCV 39 6 0 02 Jan 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks Yibo Hu Yuzhe Ou Xujiang Zhao Jin-Hee Cho Feng Chen EDL UQCV AAML 33 23 0 26 Dec 2020
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration Christian Tomani Florian Buettner UQCV AAML OOD 35 39 0 20 Dec 2020
Deep Open Intent Classification with Adaptive Decision Boundary Hanlei Zhang Hua Xu Ting-En Lin VLM 26 103 0 18 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 108 1,386 0 14 Dec 2020
Confidence Estimation via Auxiliary Models Charles Corbière Nicolas Thome A. Saporta Tuan-Hung Vu Matthieu Cord P. Pérez TPM 29 47 0 11 Dec 2020
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Hanno Gottschalk OODD 37 149 0 09 Dec 2020
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 39 22 0 05 Dec 2020
Feature Space Singularity for Out-of-Distribution Detection Haiwen Huang Zhihan Li Lulu Wang Sishuo Chen Bin Dong Xinyu Zhou OODD 22 65 0 30 Nov 2020
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning Zhuo Huang Ying Tai Chengjie Wang Jian Yang Chen Gong 36 23 0 27 Nov 2020
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 54 259 0 18 Nov 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 15 0 0 11 Nov 2020
Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers T. Shapira David Berend Ishai Rosenberg Yang Liu A. Shabtai Yuval Elovici AAML 27 4 0 30 Oct 2020
Selective Classification Can Magnify Disparities Across Groups Erik Jones Shiori Sagawa Pang Wei Koh Ananya Kumar Percy Liang 39 46 0 27 Oct 2020
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood Junier Oliva M. Styner OODD 27 30 0 25 Oct 2020
Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang Bin Dai David Wipf Jun Zhu 17 39 0 25 Oct 2020
PEP: Parameter Ensembling by Perturbation Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demian Wassermann W. Wells 30 10 0 24 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 41 48 0 19 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 119 1,306 0 08 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 36 4 0 05 Oct 2020
Generative Model-Enhanced Human Motion Prediction Anthony Bourached Ryan-Rhys Griffiths Robert J. Gray A. Jha P. Nachev 34 15 0 05 Oct 2020
Neural Bootstrapper Minsuk Shin Hyungjoon Cho Hyun-Seok Min Sungbin Lim UQCV BDL 22 7 0 02 Oct 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 30 146 0 03 Sep 2020
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption Charles Lehman Dogancan Temel Ghassan AlRegib 23 4 0 02 Sep 2020
Open-set Adversarial Defense Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 28 30 0 02 Sep 2020
Anomaly Detection by Recombining Gated Unsupervised Experts Jan-Philipp Schulze Philip Sperl Konstantin Böttinger 31 1 0 31 Aug 2020
Learning Adaptive Embedding Considering Incremental Class Yang Yang Zhensheng Sun HengShu Zhu Yanjie Fu Hui Xiong Jian Yang CLL 24 40 0 31 Aug 2020
Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks Anatol Maier Benedikt Lorch Christian Riess AAML 40 17 0 28 Jul 2020
On the Effectiveness of Image Rotation for Open Set Domain Adaptation S. Bucci Mohammad Reza Loghmani Tatiana Tommasi 63 142 0 24 Jul 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning Qing Yu Daiki Ikami Go Irie Kiyoharu Aizawa 23 128 0 22 Jul 2020