Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 814 papers shown

Title
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 40 2 0 08 Sep 2024
MILE: A Mutation Testing Framework of In-Context Learning Systems Zeming Wei Yihao Zhang Meng Sun 48 0 0 07 Sep 2024
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion Maximilian Mueller Matthias Hein MedIm 40 0 0 02 Sep 2024
Logit Scaling for Out-of-Distribution Detection Andrija Djurisic Rosanne Liu Mladen Nikolic OODD 53 1 0 02 Sep 2024
Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning Zhengqing Gao Xiang Ao Xu-Yao Zhang Cheng-Lin Liu VLM VPVLM 39 0 0 29 Aug 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection Jinglun Li Xinyu Zhou Pinxue Guo Yixuan Sun Yiwen Huang Weifeng Ge Wenqiang Zhang 41 2 0 28 Aug 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection Suhee Yoon Sanghyu Yoon Ye Seul Sim Sungik Choi Kyungeun Lee Hye-Seung Cho H. Lee Woohyung Lim 33 0 0 27 Aug 2024
Online Continuous Generalized Category Discovery Keon-Hee Park Hakyung Lee Kyungwoo Song Gyeong-Moon Park CLL BDL 37 0 0 24 Aug 2024
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification Christos Constantinou Georgios Ioannides Aman Chadha Aaron Elkins Edwin Simpson OODD 41 0 0 20 Aug 2024
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes Sadia Ilyas Ido Freeman Matthias Rottmann ObjD 51 3 0 20 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning Dong Geun Shin Hye Won Chung OODD 33 0 0 20 Aug 2024
Are CLIP features all you need for Universal Synthetic Image Origin Attribution? Dario Cioni Christos Tzelepis Lorenzo Seidenari Ioannis Patras 43 2 0 17 Aug 2024
Out-of-Distribution Learning with Human Feedback Haoyue Bai Xuefeng Du Katie Rainey Shibin Parameswaran Yixuan Li OODD 26 3 0 14 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail Yina He Lei Peng Yongcun Zhang Juanjuan Weng Zhiming Luo Shaozi Li OODD 42 0 0 13 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 40 3 0 09 Aug 2024
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Austin Castelo Mais Al Taie Mohamed Eltaher ... Nakul Gupta David Victor Laura Beretta Ankit B. Patel Kristy K. Brock OOD 32 0 0 05 Aug 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment Charles Oredola Vladimir Leung Adnan Ashraf Eric Heim I-Jeng Wang 46 1 0 02 Aug 2024
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation Rakshith Subramanyam Kowshik Thopalli V. Narayanaswamy Jayaraman J.Thiagarajan 27 2 0 01 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 36 1 0 31 Jul 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai Jingkang Yang Jingyang Zhang Yifei Ming Sisir Dhakal ... Yixuan Li Hai "Helen" Li Ziwei Liu Toshihiko Yamasaki Kiyoharu Aizawa 43 10 0 31 Jul 2024
Detecting Unsafe Behavior in Neural Network Imitation Policies for Caregiving Robotics Andrii Tytarenko OffRL 52 0 0 29 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai-Chun Liu Zhihang Fu Chao Chen Sheng Jin Ze Chen Mingyuan Tao Rongxin Jiang Jieping Ye VLM OODD 60 4 0 23 Jul 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai-Chun Liu Zhihang Fu Sheng Jin Chao Chen Ze Chen Rongxin Jiang Fan Zhou Yao-Shen Chen Jieping Ye OODD 52 0 0 23 Jul 2024
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay Yongcan Yu Lijun Sheng Ran He Jian Liang TTA 45 2 0 22 Jul 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis Brian K. S. Isaac-Medina Yona Falinie A. Gaus Neelanjan Bhowmik T. Breckon 28 2 0 22 Jul 2024
ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimation Luke Bidulka Mohsen Gholami Jiannan Zheng Martin J. McKeown Z. J. Wang 3DH 42 1 0 19 Jul 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression Aryan Gulati Xingjian Dong Carlos Hurtado Sarath Shekkizhar Swabha Swayamdipta Antonio Ortega OODD 23 2 0 18 Jul 2024
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration Tianyu Wang Sheng Li Bingyao Li Yuezhen Dai Ao Li Geng Yuan Yufei Ding Youtao Zhang Xulong Tang 40 0 0 18 Jul 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset Mijoo Kim Junseok Kwon UQCV 30 1 0 17 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 42 1 0 16 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions in an Image Sara Pohland Claire Tomlin 19 1 0 15 Jul 2024
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning Bo Wang Tsunenori Mine AAML 48 0 0 12 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models Yabin Zhang Wenjie Zhu Chenhang He Lei Zhang VLM 50 7 0 12 Jul 2024
Real-Time Anomaly Detection and Reactive Planning with Large Language Models Rohan Sinha Amine Elhafsi Christopher Agia Matthew Foutter Edward Schmerling Marco Pavone OffRL LRM 45 26 0 11 Jul 2024
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods Paul Novello Yannick Prudent Joseba Dalmau Corentin Friedrich Y. Pequignot OODD 37 1 0 09 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning Wenjun Miao Guansong Pang Trong-Tung Nguyen Ruohang Fang Jin Zheng Xiao Bai OODD 42 1 0 08 Jul 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 31 1 0 05 Jul 2024
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier Prantik Howlader Srijan Das Hieu M. Le Dimitris Samaras 49 5 0 04 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 45 1 0 04 Jul 2024
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning Saandeep Aathreya Shaun J. Canavan OODD 44 0 0 03 Jul 2024
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning Xu Yin Fei Pan G. An Yuchi Huo Zixuan Xie Sung-eui Yoon BDL VLM 68 1 0 02 Jul 2024
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision Hao Dong Eleni Chatzi Olga Fink 34 3 0 01 Jul 2024
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation Jack Highton Quok Zong Chong Samuel Finestone A. Beqiri Julia A. Schnabel K. Bhatia OOD 31 1 0 27 Jun 2024
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation Zijun Yao Weijian Qi Liangming Pan S. Cao Linmei Hu Weichuan Liu Lei Hou Juanzi Li RALM 40 6 0 27 Jun 2024
Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes Mikko Impio Jenni Raitoharju OODD 23 0 0 27 Jun 2024
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown Rejection Zhaowei Wu Binyi Su Hua Zhang Zhong Zhou EDL 52 0 0 26 Jun 2024
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification Yaqian Hao Chenguang Hu Yingying Gao Shilei Zhang Junlan Feng 33 0 0 26 Jun 2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations Yaqian Hao Chenguang Hu Yingying Gao Shilei Zhang Junlan Feng 37 1 0 26 Jun 2024
Learning Run-time Safety Monitors for Machine Learning Components Ozan Vardal Richard Hawkins Colin Paterson Chiara Picardi Daniel Omeiza Lars Kunze Ibrahim Habli 33 0 0 23 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 51 0 0 23 Jun 2024