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 / 484 papers shown

Title
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 32 4 0 26 Sep 2022
NashAE: Disentangling Representations through Adversarial Covariance Minimization Eric C. Yeats Frank Liu David A. P. Womble Hai Helen Li CML 43 10 0 21 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 172 152 0 20 Sep 2022
Two-stage Modeling for Prediction with Confidence Dangxing Chen OODD OOD 22 0 0 19 Sep 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation Yanan Wu Zhiyuan Zeng Keqing He Yutao Mou Pei Wang Weiran Xu 50 8 0 14 Sep 2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System Xin Li Yao Qiang Chengyin Li Sijia Liu D. Zhu OOD MedIm 42 4 0 09 Sep 2022
ScaleFace: Uncertainty-aware Deep Metric Learning Roma Kail Kirill Fedyanin Nikita Muravev Alexey Zaytsev Maxim Panov CVBM UQCV 37 5 0 05 Sep 2022
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss Yannik Blei Nicolas Jourdan Nils Gählert OODD 24 3 0 01 Sep 2022
Unifying Evaluation of Machine Learning Safety Monitors Joris Guérin Raul Sena Ferreira Kevin Delmas Jérémie Guiochet 42 12 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 46 0 0 30 Aug 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 23 4 0 30 Aug 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 31 29 0 29 Aug 2022
Open-Set Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Xiaoliang Dai Junjiao Tian Peter Vajda Zijian He Z. Kira 26 22 0 29 Aug 2022
Towards In-distribution Compatibility in Out-of-distribution Detection Boxi Wu Jie Jiang Haidong Ren Zifan Du Wenxiao Wang Zhifeng Li Deng Cai Xiaofei He Binbin Lin Wei Liu OODD 29 1 0 29 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection Abhishek Joshi Sathish Chalasani K. N. Iyer OODD 44 4 0 23 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 44 25 0 22 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 51 18 0 17 Aug 2022
A Case for Rejection in Low Resource ML Deployment J. White Pulkit Madaan Nikhil Shenoy Apoorv Agnihotri Makkunda Sharma Jigar Doshi OffRL 16 3 0 12 Aug 2022
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation Jiamin Liang Yuhao Huang Haoming Li Shuangchi He Xindi Hu Zejian Chen Isabel Kaltenborn Dong Ni OOD 33 42 0 05 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 62 39 0 04 Aug 2022
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification Alessandro Wollek Theresa Willem Michael Ingrisch B. Sabel Tobias Lasser OOD 22 3 0 01 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 32 27 0 31 Jul 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song Klara Nahrstedt 27 11 0 24 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 42 7 0 23 Jul 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Hongliang Li Lin Ma Wei Emma Zhang 31 6 0 19 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 44 1 0 18 Jul 2022
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors Gianluca Detommaso Alberto Gasparin A. Wilson Cédric Archambeau UQCV BDL 34 3 0 17 Jul 2022
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 21 27 0 15 Jul 2022
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors V. Narayanaswamy Yamen Mubarka Rushil Anirudh Deepta Rajan A. Spanias Jayaraman J. Thiagarajan OOD 14 1 0 12 Jul 2022
Gradual Domain Adaptation without Indexed Intermediate Domains Hong-You Chen Wei-Lun Chao CLL 62 40 0 11 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 32 54 0 06 Jul 2022
Towards Realistic Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan M. Shah 54 46 0 05 Jul 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios Xueying Zhan Zeyu Dai Qingzhong Wang Qing Li Haoyi Xiong Dejing Dou Antoni B. Chan OODD 16 3 0 04 Jul 2022
Data-Efficient Learning via Minimizing Hyperspherical Energy Xiaofeng Cao Weiyang Liu Ivor W. Tsang 21 8 0 30 Jun 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier Bartosz Wójcik J. Grela Marek Śmieja Krzysztof Misztal Jacek Tabor UQCV 38 4 0 28 Jun 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 42 114 0 28 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 36 0 0 27 Jun 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf Alexander Meinke Maximilian Augustin Matthias Hein OODD 21 25 0 20 Jun 2022
Multiple Testing Framework for Out-of-Distribution Detection A. Magesh V. Veeravalli Anirban Roy Susmit Jha OODD 47 5 0 20 Jun 2022
Gray Learning from Non-IID Data with Out-of-distribution Samples Zhilin Zhao LongBing Cao Changbao Wang OOD OODD 45 1 0 19 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 40 13 0 16 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection Wenyu Jiang Yuxin Ge Hao Cheng Mingcai Chen Shuai Feng Chongjun Wang OODD 29 11 0 15 Jun 2022
CodeS: Towards Code Model Generalization Under Distribution Shift Qiang Hu Yuejun Guo Xiaofei Xie Maxime Cordy Lei Ma Mike Papadakis Yves Le Traon OOD 39 10 0 11 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 33 0 0 06 Jun 2022
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 34 5 0 05 Jun 2022
Selective Classification Via Neural Network Training Dynamics Stephan Rabanser Anvith Thudi Kimia Hamidieh Adam Dziedzic Nicolas Papernot 31 21 0 26 May 2022
How Useful are Gradients for OOD Detection Really? Conor Igoe Youngseog Chung I. Char J. Schneider OODD 47 23 0 20 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 268 0 19 May 2022
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation Chih-Hong Cheng Changshun Wu Emmanouil Seferis Saddek Bensalem 31 3 0 16 May 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 37 3 0 16 May 2022