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Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 847 papers shown

Title
Exploring Active Data Selection Strategies for Continuous Training in Deepfake Detection Yoshihiko Furuhashi Junichi Yamagishi Xin Eric Wang H. Nguyen Isao Echizen 103 0 0 11 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 403 4 0 09 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 174 2 0 05 Feb 2025
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Yu Feng Yangli-ao Geng Yifan Zhu Zongfu Han Xie Yu Kaiwen Xue Haoran Luo Mengyang Sun Guangwei Zhang Meina Song FedML MoE 139 0 0 01 Feb 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 132 1 0 30 Jan 2025
Topology of Out-of-Distribution Examples in Deep Neural Networks Esha Datta Johanna Hennig Eva Domschot Connor Mattes Michael R. Smith 119 0 0 21 Jan 2025
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models Shu Zou Xinyu Tian Qinyu Zhao Zhaoyuan Yang Jing Zhang VLM 81 1 0 20 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 444 0 0 20 Jan 2025
ARES: Auxiliary Range Expansion for Outlier Synthesis Eui-Soo Jung Hae-Hun Seo Hyun-Woo Jung Je-Geon Oh Yoon-Yeong Kim OODD 126 0 0 11 Jan 2025
Concept Matching with Agent for Out-of-Distribution Detection YuXiao Lee Xiaofeng Cao Jingcai Guo Wei Ye Qing Guo Yi Chang 99 0 0 08 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jing Zhang Yun Wang C. Zhao 259 4 0 03 Jan 2025
Pretraining with random noise for uncertainty calibration Jeonghwan Cheon Se-Bum Paik OnRL 180 2 0 23 Dec 2024
Out-of-Distribution Detection with Prototypical Outlier Proxy Mingrong Gong Chaoqi Chen Qingqiang Sun Yue Wang Hui Huang OODD 168 3 0 22 Dec 2024
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan OODD 127 0 0 20 Dec 2024
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Burak Ekim G. Tadesse Caleb Robinson G. Q. Hacheme Michael Schmitt Rahul Dodhia J. L. Ferres OODD 196 1 0 18 Dec 2024
Open-World Panoptic Segmentation Matteo Sodano Federico Magistri Jens Behley Cyrill Stachniss VLM 157 0 0 17 Dec 2024
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection Haonan Xu Yang Yang OODD 145 2 0 17 Dec 2024
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection Yutian Lei Luping Ji Pei Liu OODD 119 0 0 16 Dec 2024
How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct Matching András Balogh Márk Jelasity 115 1 0 15 Dec 2024
Safety Monitoring of Machine Learning Perception Functions: a Survey Raul Sena Ferreira Joris Guérin Kevin Delmas Jérémie Guiochet H. Waeselynck 121 0 0 09 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan 178 19 0 09 Dec 2024
Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations Casey Lauer Robert C. Blake Jonathan B. Freund 114 0 0 04 Dec 2024
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision Sandesh Pokhrel Sanjay Bhandari Sharib Ali Tryphon Lambrou Anh Nguyen Yash Raj Shrestha Angus Watson Danail Stoyanov P. Gyawali Binod Bhattarai 116 2 0 02 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings Aditya Sinha Siqi Zeng M. Yamada Han Zhao 152 3 0 02 Dec 2024
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects Zizhao Li Zhengkang Xiang Joseph West Kourosh Khoshelham ObjD VLM 185 1 0 27 Nov 2024
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector Jiankang Chen Ling Deng Zhiyong Gan Wei-Shi Zheng Ruixuan Wang OODD 175 2 0 22 Nov 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection Jiankang Chen Tong Zhang Wei-Shi Zheng Ruixuan Wang OODD 162 3 0 22 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 203 1 0 22 Nov 2024
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection Xingming Long Jie M. Zhang Shiguang Shan Xilin Chen OODD 79 0 0 18 Nov 2024
Targeting Negative Flips in Active Learning using Validation Sets Ryan Benkert Mohit Prabhushankar Ghassan AlRegib AAML 81 0 0 16 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 173 1 0 16 Nov 2024
Disentangling Tabular Data Towards Better One-Class Anomaly Detection Jianan Ye Zhaorui Tan Yijie Hu Xi Yang Guangliang Cheng K. Huang 67 0 0 12 Nov 2024
Feature-Space Semantic Invariance: Enhanced OOD Detection for Open-Set Domain Generalization Haoliang Wang Chen Zhao Feng Chen 74 1 0 11 Nov 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction B. Zhu Jiequan Cui Han Zhang VLM OODD 100 3 0 11 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 416 3 0 10 Nov 2024
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data Aitor Martinez-Seras Javier Del Ser Alain Andres Pablo García Bringas Pablo Garcia-Bringas OODD 103 0 0 07 Nov 2024
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors Jeongsoo Park Andrew Owens 92 5 0 06 Nov 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection Geng Yu Jianing Zhu Jiangchao Yao Bo Han OODD 78 2 0 05 Nov 2024
Typicalness-Aware Learning for Failure Detection Yijun Liu Jiequan Cui Zhuotao Tian Senqiao Yang Qingdong He Xiaoling Wang Jingyong Su AAML 83 2 0 04 Nov 2024
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity Mouin Ben Ammar David Brellmann Arturo Mendoza Antoine Manzanera Gianni Franchi OODD 116 0 0 04 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection Jingyao Geng Yuan Zhang Jiaqi Huang Feng Xue Falong Tan Chuanlong Xie Shumei Zhang OODD 98 1 0 03 Nov 2024
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning Haoliang Wang Chen Zhao Feng Chen 75 3 0 02 Nov 2024
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection Xuchen Xie Yiqiao Qiu Run Lin Weishi Zheng Ruixuan Wang CLL 82 0 0 01 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery Kyung-Hwan Lee Kyung-Tae Kim 77 0 0 01 Nov 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 182 1 0 30 Oct 2024
Dimensionality-induced information loss of outliers in deep neural networks Kazuki Uematsu Kosuke Haruki Taiji Suzuki Mitsuhiro Kimura Takahiro Takimoto Hideyuki Nakagawa 54 0 0 29 Oct 2024
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation Wenjun Miao Guansong Pang Jin Zheng Xiao Bai OODD 134 3 0 28 Oct 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 323 0 0 27 Oct 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models Yabin Zhang Lefei Zhang VLM OODD 84 4 0 26 Oct 2024
What If the Input is Expanded in OOD Detection? Boxuan Zhang Jianing Zhu Zengmao Wang Tongliang Liu Bo Du Bo Han AAML OODD 133 2 0 24 Oct 2024