Energy-based Out-of-distribution Detection

8 October 2020

Papers citing "Energy-based Out-of-distribution Detection"

50 / 812 papers shown

Title
FrOoDo: Framework for Out-of-Distribution Detection J. Stieber Moritz Fuchs Anirban Mukhopadhyay OODD 11 3 0 01 Aug 2022
XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification Frej Berglind Haron Temam S. Mukhopadhyay K. Das Md Saiful Islam Sajol K. Sricharan Kumar Kallurupalli OODD 11 0 0 01 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 14 27 0 31 Jul 2022
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions R. Hebbalaguppe Soumya Suvra Goshal Jatin Prakash H. Khadilkar Chetan Arora OODD 33 4 0 28 Jul 2022
Task Agnostic and Post-hoc Unseen Distribution Detection Radhika Dua Seong-sil Yang Yixuan Li E. Choi OODD 9 10 0 26 Jul 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song K. Nahrstedt 24 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 28 7 0 23 Jul 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring Nandita Bhaskhar D. Rubin Christopher Lee-Messer 7 5 0 22 Jul 2022
Novel Class Discovery without Forgetting K. J. Joseph S. Paul Gaurav Aggarwal Soma Biswas Piyush Rai Kai Han V. Balasubramanian CLL 31 43 0 21 Jul 2022
Towards Accurate Open-Set Recognition via Background-Class Regularization Wonwoong Cho Jaegul Choo BDL 11 17 0 21 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry Yawen Cui Zitong Yu Wei Peng Li Liu CLL 8 11 0 20 Jul 2022
Semantic Novelty Detection via Relational Reasoning Francesco Cappio Borlino S. Bucci Tatiana Tommasi 17 4 0 18 Jul 2022
A Simple Test-Time Method for Out-of-Distribution Detection Ke Fan Yikai Wang Qian Yu Da Li Yanwei Fu OODD 47 8 0 17 Jul 2022
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection Guoxuan Xia C. Bouganis UQCV 11 14 0 15 Jul 2022
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data Guoxuan Xia C. Bouganis OODD 11 27 0 15 Jul 2022
Single Model Uncertainty Estimation via Stochastic Data Centering Jayaraman J. Thiagarajan Rushil Anirudh V. Narayanaswamy P. Bremer UQCV OOD 17 26 0 14 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 4 1 0 12 Jul 2022
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach Taha Belkhouja Yan Yan J. Doppa OODD AI4TS 14 3 0 09 Jul 2022
Out of Distribution Detection via Neural Network Anchoring Rushil Anirudh Jayaraman J. Thiagarajan UQCV 23 5 0 08 Jul 2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style Zhuo Huang Xiaobo Xia Li Shen Bo Han Mingming Gong Chen Gong Tongliang Liu OODD 30 46 0 07 Jul 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 24 54 0 06 Jul 2022
Class-Specific Semantic Reconstruction for Open Set Recognition Hongzhi Huang Yu Wang Qinghua Hu Mingg-Ming Cheng BDL 31 58 0 05 Jul 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang Aston Zhang Yi Zhu Shuai Zheng Mu Li Alexander J. Smola Zhangyang Wang OODD 138 48 0 04 Jul 2022
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images Nanqing Dong Michael C. Kampffmeyer Irina Voiculescu OOD 26 7 0 30 Jun 2022
Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images Deval Mehta Y. Gal Adrian Bowling Paul Bonnington Zongyuan Ge OODD 19 13 0 30 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 27 34 0 29 Jun 2022
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering Violetta Shevchenko Ehsan Abbasnejad A. Dick A. Hengel Damien Teney 41 0 0 29 Jun 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 27 113 0 28 Jun 2022
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection Xiongjie Chen Yunpeng Li Yongxin Yang UQCV OODD 19 3 0 26 Jun 2022
WeShort: Out-of-distribution Detection With Weak Shortcut structure Jin-Siang Lin OODD 22 0 0 23 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 13 25 0 20 Jun 2022
Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space Tomoharu Iwata Atsutoshi Kumagai OODD 4 2 0 20 Jun 2022
Multiple Testing Framework for Out-of-Distribution Detection A. Magesh V. Veeravalli Anirban Roy Susmit Jha OODD 31 5 0 20 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 30 295 0 19 Jun 2022
Dual Representation Learning for Out-of-Distribution Detection Zhilin Zhao LongBing Cao 19 2 0 19 Jun 2022
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data Zhilin Zhao LongBing Cao Kun-Yu Lin OOD 19 2 0 19 Jun 2022
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection Zhilin Zhao LongBing Cao Kun-Yu Lin 19 4 0 19 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 23 11 0 19 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 26 22 0 17 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee M. Prabhushankar Ghassan AlRegib UQCV 27 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 21 10 0 15 Jun 2022
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning Z. Yu Yin Li Yong Jae Lee 6 0 0 13 Jun 2022
Out-of-Distribution Detection with Class Ratio Estimation Mingtian Zhang Andi Zhang Tim Z. Xiao Yitong Sun Steven G. McDonagh OODD 6 4 0 08 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 24 0 0 06 Jun 2022
Selective Classification Via Neural Network Training Dynamics Stephan Rabanser Anvith Thudi Kimia Hamidieh Adam Dziedzic Nicolas Papernot 18 21 0 26 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 30 3 0 25 May 2022
Active Source Free Domain Adaptation Fan Wang Zhongyi Han Zhiyan Zhang Yilong Yin 141 11 0 22 May 2022
How Useful are Gradients for OOD Detection Really? Conor Igoe Youngseog Chung I. Char J. Schneider OODD 42 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 163 266 0 19 May 2022
Norm-Scaling for Out-of-Distribution Detection Deepak Ravikumar Kaushik Roy OODD UQCV 19 2 0 06 May 2022