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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
LLM meets Vision-Language Models for Zero-Shot One-Class Classification Yassir Bendou G. Lioi Bastien Pasdeloup Lukas Mauch G. B. Hacene Fabien Cardinaux Vincent Gripon VLM MLLM 80 1 0 31 Mar 2024
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning Kun Ding Haojian Zhang Qiang Yu Ying Wang Shiming Xiang Chunhong Pan OODD VLM 49 4 0 31 Mar 2024
ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems Yue Zhao Yuxuan Li Chenang Liu Yinan Wang 66 0 0 31 Mar 2024
CLIP-driven Outliers Synthesis for few-shot OOD detection Hao Sun Rundong He Zhongyi Han Zhicong Lin Yongshun Gong Yilong Yin OODD 120 5 0 30 Mar 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models Xue Jiang Feng Liu Zhengfeng Fang Hong Chen Tongliang Liu Feng Zheng Bo Han VLM 108 34 0 29 Mar 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick UQCV 89 0 0 29 Mar 2024
GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation Mohsen Gholami Mohammad Akbari Cindy Hu Vaden Masrani Z. J. Wang Yong Zhang 77 4 0 28 Mar 2024
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models Saurav Jha Dong Gong Lina Yao CLIP VLM 152 11 0 28 Mar 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini Rahul G. Krishnan Gabriel Loaiza-Ganem OODD 101 12 0 27 Mar 2024
BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection Changshun Wu Weicheng He Chih-Hong Cheng Xiaowei Huang Saddek Bensalem 85 2 0 27 Mar 2024
SCOD: From Heuristics to Theory Vojtech Franc Jakub Paplhám D. Prusa 65 2 0 25 Mar 2024
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble Chenhui Xu Fuxun Yu Zirui Xu Nathan Inkawhich Xiang Chen OODD 86 6 0 24 Mar 2024
Hyperbolic Metric Learning for Visual Outlier Detection Alvaro Gonzalez-Jimenez Simone Lionetti Dena Bazazian Philippe Gottfrois Fabian Gröger Marc Pouly Alexander A. Navarini 81 2 0 22 Mar 2024
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt Yi-Fan Zhang Weiqiu Chen Zhaoyang Zhu Dalin Qin Liang Sun Xue Wang Qingsong Wen Zhang Zhang Liang Wang Rong Jin AI4TS 66 2 0 22 Mar 2024
Tell Me What You Want (What You Really, Really Want): Addressing the Expectation Gap for Goal Conveyance from Humans to Robots Kevin J. Leahy H. Siu 37 2 0 21 Mar 2024
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?) Paul Novello Joseba Dalmau Léo Andéol OODD 87 2 0 18 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting Mingkui Tan Guohao Chen Jiaxiang Wu Yifan Zhang Yaofo Chen Peilin Zhao Shuaicheng Niu TTA OOD 69 5 0 18 Mar 2024
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion Jiawei Li Sitong Li Shanshan Wang Yicheng Zeng Falong Tan Chuanlong Xie OODD 96 1 0 16 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders Andrew Geng Pin-Yu Chen OODD 85 1 0 16 Mar 2024
Energy Correction Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Clément Rambour Nicolas Thome OODD 61 0 0 15 Mar 2024
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning Yukun Li Guansong Pang Wei Suo Chenchen Jing Yuling Xi Lingqiao Liu Hao Chen Guoqiang Liang Peng Wang CLL VLM 81 8 0 15 Mar 2024
Open-World Semantic Segmentation Including Class Similarity Matteo Sodano Federico Magistri Lucas Nunes Jens Behley C. Stachniss VLM 68 8 0 12 Mar 2024
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification L. E. Hogeweg R. Gangireddy D. Brunink Vincent J. Kalkman L. Cornelissen J. W. Kamminga OODD 71 6 0 11 Mar 2024
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation Zihao Tang Zheqi Lv Shengyu Zhang Yifan Zhou Xinyu Duan Leilei Gan Kun Kuang 78 1 0 11 Mar 2024
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification Zhijian Li Stefan Larson Kevin Leach OODD 65 1 0 08 Mar 2024
Aligners: Decoupling LLMs and Alignment Lilian Ngweta Mayank Agarwal Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin 63 2 0 07 Mar 2024
ComFe: An Interpretable Head for Vision Transformers Evelyn J. Mannix H. Bondell Howard Bondell VLM ViT 86 1 0 07 Mar 2024
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design Yingrui Ji Yao Zhu Zhigang Li Jiansheng Chen Yun-long Kong Jingbo Chen OODD 83 0 0 06 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 103 12 0 05 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process Cong Geng Tian Han Peng-Tao Jiang Hao Zhang Jinwei Chen Søren Hauberg Yue Liu DiffM 126 4 0 04 Mar 2024
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection Sam Dauncey Chris Holmes Christopher Williams Fabian Falck 103 0 0 03 Mar 2024
Run-time Introspection of 2D Object Detection in Automated Driving Systems Using Learning Representations Hakan Yekta Yatbaz M. Dianati K. Koufos Roger Woodman 76 3 0 02 Mar 2024
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection Rishi Singhal Srinath Srinivasan UQCV MQ 39 0 0 02 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks Yuting Li Yingyi Chen Xuanlong Yu Dexiong Chen Xi Shen UQCV OOD 85 4 0 01 Mar 2024
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging Jennie Karlsson Marisa Wodrich Niels Christian Overgaard Freja Sahlin Kristina Laang Anders Heyden Ida Arvidsson 54 0 0 29 Feb 2024
Out-of-Distribution Detection using Neural Activation Prior Weilin Wan Weizhong Zhang Quan Zhou Fan Yi Cheng Jin OODD 88 0 0 28 Feb 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng Yadan Luo Yonggang Zhang Yixuan Li Zhen Fang 64 14 0 27 Feb 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures Nicolas Huynh Jeroen Berrevoets Nabeel Seedat Jonathan Crabbé Zhaozhi Qian M. Schaar 89 1 0 26 Feb 2024
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation Pau de Jorge Riccardo Volpi P. Dokania Philip Torr Grégory Rogez DiffM 116 5 0 26 Feb 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune Mengen Luo Chi Xu E. Kuruoglu FedML 92 1 0 25 Feb 2024
Outlier detection by ensembling uncertainty with negative objectness Anja Delić Matej Grcić Sinisa Segvic UQCV 118 15 0 23 Feb 2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism Hippolyte Gisserot-Boukhlef Manuel Faysse Emmanuel Malherbe C´eline Hudelot Pierre Colombo 175 4 0 20 Feb 2024
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition Yijie Wang Mingjian Hong Luwen Huangfu Shengyue Huang SyDa 72 6 0 18 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization Zongbo Han Yifeng Yang Changqing Zhang Linjun Zhang Qiufeng Wang Qinghua Hu 55 4 0 13 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) Weijie Tu Weijian Deng Tom Gedeon UQCV VLM 73 35 0 12 Feb 2024
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows Evan Cook Marc-Antoine Lavoie Steven L. Waslander OODD 69 2 0 09 Feb 2024
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? Maohao Shen J. Jon Ryu Soumya Ghosh Yuheng Bu P. Sattigeri Subhro Das Greg Wornell EDL BDL UQCV 67 3 0 09 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 138 2 0 07 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning Wei-Cheng Huang Chun-Fu Chen Hsiang Hsu VLM 68 11 0 06 Feb 2024
Energy-based Domain-Adaptive Segmentation with Depth Guidance Jinjin Zhu Zhedong Hu Tae-Kyun Kim Lin Wang MDE 60 2 0 06 Feb 2024