Energy-based Out-of-distribution Detection

8 October 2020

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

50 / 812 papers shown

Title
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 40 0 0 07 Nov 2024
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors Jeongsoo Park Andrew Owens 34 3 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 38 0 0 05 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 34 0 0 04 Nov 2024
Typicalness-Aware Learning for Failure Detection Yijun Liu Jiequan Cui Zhuotao Tian Senqiao Yang Qingdong He Xiaoling Wang Jingyong Su AAML 28 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 41 0 0 03 Nov 2024
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning Haoliang Wang Chen Zhao Feng Chen 31 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 50 0 0 01 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery Kyung-Hwan Lee Kyung-Tae Kim 21 0 0 01 Nov 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 64 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 23 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 33 1 0 28 Oct 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 107 0 0 27 Oct 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models Yabin Zhang L. Zhang VLM OODD 28 2 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 26 0 0 24 Oct 2024
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators Han Zhou Jordy Van Landeghem Teodora Popordanoska Matthew B. Blaschko 39 0 0 20 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 108 0 0 19 Oct 2024
What's New in My Data? Novelty Exploration via Contrastive Generation Masaru Isonuma Ivan Titov 26 0 0 18 Oct 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Rui-cang Wang LRM 42 4 0 17 Oct 2024
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability ZhongXiang Sun Xiaoxue Zang Kai Zheng Yang Song Jun Xu Xiao Zhang Weijie Yu Yang Song Han Li 55 7 0 15 Oct 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao Weiming Liu Pengyang Zhou Fengyuan Yu Jiahe Xu Jun Wang Wenjie Wang Chaochao Chen Xiaolin Zheng FedML OODD 43 2 0 15 Oct 2024
Open World Object Detection: A Survey Yiming Li Yi Wang Wenqian Wang Dan Lin Bingbing Li Kim-Hui Yap ObjD 30 0 0 15 Oct 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 47 14 0 15 Oct 2024
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure X. Zhang Sin Chee Chin Tingxuan Gao Wenming Yang 33 0 0 14 Oct 2024
COME: Test-time adaption by Conservatively Minimizing Entropy Qingyang Zhang Yatao Bian Xinke Kong Peilin Zhao Changqing Zhang OOD TTA 78 1 0 12 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 30 0 0 11 Oct 2024
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions Saeed Rahmani Sabine Rieder Erwin de Gelder Marcel Sonntag Jorge Lorente Mallada Sytze Kalisvaart Vahid Hashemi Simeon C. Calvert 39 0 0 11 Oct 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation Zhuohang Li Jiaxin Zhang Chao Yan Kamalika Das Sricharan Kumar Murat Kantarcioglu Bradley Malin RALM 21 1 0 10 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection Haoyue Bai Jifan Zhang Robert Nowak 30 6 0 10 Oct 2024
Adaptive Label Smoothing for Out-of-Distribution Detection Mingle Xu Jaehwan Lee Sook Yoon D. Park OODD 28 2 0 08 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition Zi-Hao Zhou Siyuan Fang Zi-Jing Zhou Tong Wei Yuanyu Wan Min-Ling Zhang 26 1 0 08 Oct 2024
Look Around and Find Out: OOD Detection with Relative Angles Berker Demirel Marco Fumero Francesco Locatello 29 0 0 06 Oct 2024
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 38 5 0 04 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Yixuan Li Hongxin Wei VLM 46 2 0 03 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 111 0 0 03 Oct 2024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection Saehyung Lee J. Mok Sangha Park Yongho Shin Dahuin Jung Sungroh Yoon 20 0 0 30 Sep 2024
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery Haonan Lin Wenbin An Jiahao Wang Yan Chen Feng Tian Mengmeng Wang Guang Dai Qianying Wang Jingdong Wang 34 2 0 29 Sep 2024
Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks Debargha Ganguly Debayan Gupta Vipin Chaudhary GNN 31 1 0 26 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang Yixuan Li CML 31 0 0 26 Sep 2024
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection Liangyu Zhong Joachim Sicking Fabian Hüger Hanno Gottschalk VLM 30 0 0 25 Sep 2024
Scalable Ensemble Diversification for OOD Generalization and Detection Alexander Rubinstein Luca Scimeca Damien Teney Seong Joon Oh BDL OOD 353 1 0 25 Sep 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles Tongfei Guo Rui Liu Lili Su 38 1 0 25 Sep 2024
Margin-bounded Confidence Scores for Out-of-Distribution Detection L. Tamang Mohamed Reda Bouadjenek Richard Dazeley Sunil Aryal OODD 41 0 0 22 Sep 2024
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection Jeng-Lin Li Ming-Ching Chang Wei-Chao Chen OODD 48 1 0 19 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 62 3 0 18 Sep 2024
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning Min-Yeong Park Jae-Ho Lee Gyeong-Moon Park CLL 26 1 0 17 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection Xiang Fang Arvind Easwaran B. Genest 33 4 0 16 Sep 2024
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty Sara Pohland Claire Tomlin 33 0 0 09 Sep 2024
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 38 2 0 08 Sep 2024
MILE: A Mutation Testing Framework of In-Context Learning Systems Zeming Wei Yihao Zhang Meng Sun 40 0 0 07 Sep 2024