Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 819 papers shown

Title
Activate and Reject: Towards Safe Domain Generalization under Category Shift Chaoqi Chen Luyao Tang Leitian Tao Hong-Yu Zhou Yue Huang Xiaoguang Han Yizhou Yu OOD 39 10 0 07 Oct 2023
OpenPatch: a 3D patchwork for Out-Of-Distribution detection Paolo Rabino A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 27 1 0 05 Oct 2023
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness Fran Jelenić Josip Jukić Martin Tutek Mate Puljiz Jan vSnajder OODD 32 5 0 04 Oct 2023
OOD Aware Supervised Contrastive Learning Soroush Seifi Daniel Olmeda Reino N. Chumerin Rahaf Aljundi OODD 34 2 0 03 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms William Yang Byron Zhang Olga Russakovsky OODD 45 13 0 03 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai Zuo-Qiang Liu Hualiang Wang Ruizhe Chen Lianrui Mu Xiaomeng Li Qiufeng Wang Yang Feng Jian Wu Haoji Hu 49 9 0 02 Oct 2023
LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 25 5 0 02 Oct 2023
Towards Robust 3D Object Detection In Rainy Conditions Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 3DPC 24 6 0 02 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 148 6 0 02 Oct 2023
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement Kai Xu Rongyu Chen Gianni Franchi Angela Yao OODD 49 33 0 30 Sep 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data Mohammad Azizmalayeri Ameen Abu-Hanna Dirk Kraft OOD 33 5 0 28 Sep 2023
The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu Yi Zuo Zitao Wang Xiaowen Zhang Jiaxuan Zhao ... Angela Yao Wenlong Chen Ivor J. A. Simpson Neill D. F. Campbell Gianni Franchi UQCV 40 4 0 27 Sep 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction Haowei Lin Yijia Shao W. Qian Ningxin Pan Yiduo Guo Bing-Quan Liu CLL 44 13 0 26 Sep 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection Jaewoo Park Yoon Gyo Jung Andrew Beng Jin Teoh OODD 27 31 0 26 Sep 2023
Online Active Learning For Sound Event Detection Mark Lindsey Ankit Shah Francis Kubala R. M. Stern 26 0 0 25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 33 54 0 23 Sep 2023
Meta OOD Learning for Continuously Adaptive OOD Detection Xinheng Wu Jie Lu Zhen Fang Guangquan Zhang OODD 50 6 0 21 Sep 2023
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time Isak Meding Alexander Bodin Adam Tonderski Joakim Johnander Christoffer Petersson Lennart Svensson OOD UQCV 21 1 0 20 Sep 2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition Wentao Bao Qi Yu Yu Kong BDL 37 2 0 19 Sep 2023
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective Haoliang Wang Chen Zhao Yunhui Guo Kai Jiang Feng Chen 37 3 0 18 Sep 2023
Conditioning Latent-Space Clusters for Real-World Anomaly Classification Daniel Bogdoll Svetlana Pavlitska Simon Klaus J. Marius Zöllner DRL 35 1 0 18 Sep 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation Zhitong Gao Shipeng Yan Xuming He OOD OODD 26 10 0 12 Sep 2023
On the detection of Out-Of-Distribution samples in Multiple Instance Learning Loïc Le Bescond Maria Vakalopoulou Stergios Christodoulidis Fabrice André Hugues Talbot OODD 22 0 0 11 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Y. Zhu Jianwen Xie Yingnian Wu Ruiqi Gao DiffM 39 11 0 10 Sep 2023
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms Sudeepta Mondal G. Sundaramoorthi OODD 15 0 0 09 Sep 2023
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation Shyam Nandan Rai Fabio Cermelli Barbara Caputo Carlo Masone ISeg ViT 33 5 0 08 Sep 2023
Combining pre-trained Vision Transformers and CIDER for Out Of Domain Detection Grégor Jouet Clément Duhart Francis Rousseaux Julio Laborde Cyril de Runz ViT 33 0 0 06 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection Eduardo Aguilar Bogdan Raducanu Petia Radeva Joost van de Weijer OODD EDL 22 7 0 06 Sep 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification Jacopo Talpini Fabio Sartori Marco Savi 32 2 0 05 Sep 2023
Safe and Robust Watermark Injection with a Single OoD Image Shuyang Yu Junyuan Hong Haobo Zhang Haotao Wang Zhangyang Wang Jiayu Zhou WIGM 46 3 0 04 Sep 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization Zekun Li Lei Qi Yinghuan Shi Yang Gao 37 29 0 25 Aug 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No Hualiang Wang Yi Li Huifeng Yao Xuelong Li VLM OODD 40 97 0 23 Aug 2023
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection Charles Guille-Escuret Pierre-Andre Noel Ioannis Mitliagkas David Vazquez João Monteiro OOD OODD 35 0 0 22 Aug 2023
CAME: Contrastive Automated Model Evaluation Ru Peng Qiuyang Duan Haobo Wang Jiachen Ma Yanbo Jiang Yongjun Tu Xiu Jiang Jiaqi Zhao ELM 41 4 0 22 Aug 2023
Quantile-based Maximum Likelihood Training for Outlier Detection Masoud Taghikhah Nishant Kumar Sinisa Segvic Abouzar Eslami Stefan Gumhold 35 3 0 20 Aug 2023
How Good Are LLMs at Out-of-Distribution Detection? Bo Liu Li-Ming Zhan Zexin Lu Yu Feng Lei Xue Xiao-Ming Wu OODD 42 8 0 20 Aug 2023
From Global to Local: Multi-scale Out-of-distribution Detection Ji Zhang Lianli Gao Bingguang Hao Hao Huang Jingkuan Song H. Shen OODD 36 16 0 20 Aug 2023
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation Dan Zhang K. Sakmann William H. Beluch Robin Hutmacher Yumeng Li 34 4 0 19 Aug 2023
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain Alignment Ji Zhang Xiao-Jun Wu Zhi-Qi Cheng Qin He Wei Li 35 5 0 16 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models Ruiyuan Gao Chenchen Zhao Lanqing Hong Q. Xu 42 16 0 15 Aug 2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization Jungsoo Lee Debasmit Das Jaegul Choo Sungha Choi TTA VLM 43 28 0 14 Aug 2023
Out-of-Distribution Detection for Monocular Depth Estimation Julia Hornauer Adrian Holzbock Vasileios Belagiannis UQCV 35 4 0 11 Aug 2023
Expert load matters: operating networks at high accuracy and low manual effort Sara Sangalli Ertunc Erdil E. Konukoglu 17 4 0 09 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
ETran: Energy-Based Transferability Estimation Mohsen Gholami Mohammad Akbari Xinglu Wang Behnam Kamranian Yong Zhang 31 10 0 03 Aug 2023
Three Factors to Improve Out-of-Distribution Detection Hyunjun Choi Jaeho Chung Hawook Jeong J. Choi OODD 28 2 0 02 Aug 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients Sima Behpour T. Doan Xin Li Wenbin He Liangke Gou Liu Ren OODD 48 13 0 01 Aug 2023
Detecting Out-of-distribution Objects Using Neuron Activation Patterns Bartlomiej Olber Krystian Radlak K. Chachula Jakub Lyskawa Piotr Fratczak OODD 24 0 0 31 Jul 2023
Uncertainty-aware Unsupervised Multi-Object Tracking Kai Liu Sheng Jin Zhihang Fu Ze Chen Rongxin Jiang Jieping Ye VOT MQ 35 8 0 28 Jul 2023
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance Savino Dambra Yufei Han Simone Aonzo Platon Kotzias Antonino Vitale Juan Caballero Davide Balzarotti Leyla Bilge 24 23 0 27 Jul 2023