Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

26 February 2020

Papers citing "Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data"

50 / 97 papers shown

Title
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Brian K. S. Isaac-Medina T. Breckon OODD 119 0 0 25 Apr 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection Bin Zhang Xiaoyang Qu Guokuan Li Jiguang Wan Jianzong Wang VLM 51 0 0 28 Mar 2025
Representation Learning on Out of Distribution in Tabular Data Achmad Ginanjar Xue Li Priyanka Singh Wen Hua LMTD 155 0 0 17 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 87 0 0 09 Feb 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks Philip Enevoldsen Christian Gundersen Nico Lang Serge J. Belongie Christian Igel 57 1 0 03 Jan 2025
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 78 14 0 09 Dec 2024
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Xiaofeng Tan Hongsong Wang Xin Geng Liang Wang DiffM AAML VGen 84 0 0 04 Dec 2024
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders Sizai Hou Songze Li Duanyi Yao AAML 70 0 0 25 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 52 1 0 16 Nov 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
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection Xiang Fang Arvind Easwaran B. Genest 31 4 0 16 Sep 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity Junkun Chen Jilin Mei Liang Chen Fangzhou Zhao Yu Hu Yu Hu ObjD 40 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
Physics-Driven AI Correction in Laser Absorption Sensing Quantification Ruiyuan Kang P. Liatsis Meixia Geng Qingjie Yang 37 0 0 20 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 51 5 0 01 Aug 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 29 1 0 05 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 37 1 0 04 Jul 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 39 0 0 23 Jun 2024
Continual Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 31 0 0 04 Jun 2024
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer Qiuyu Zhu Yiwei He OODD 19 1 0 02 May 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward Xuan Xie Jiayang Song Zhehua Zhou Yuheng Huang Da Song Lei Ma OffRL 35 6 0 12 Apr 2024
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation Qi Bi Shaodi You Theo Gevers 41 1 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 29 0 0 29 Mar 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation Sanqing Qu Tianpei Zou Lianghua He Florian Röhrbein Alois C. Knoll Guang Chen Changjun Jiang 45 12 0 06 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 35 0 0 06 Mar 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv M. He Xiaolin Huang Jie-jin Yang OODD 44 2 0 05 Feb 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 51 1 0 22 Jan 2024
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard G. Steinbach 32 4 0 14 Dec 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 17 1 0 23 Nov 2023
A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift Will LeVine Benjamin Pikus Tony Chen Sean Hendryx 27 8 0 21 Nov 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? Andrea Corsini S. Yang OODD AAML 6 7 0 28 Aug 2023
Redesigning Out-of-Distribution Detection on 3D Medical Images A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh OOD 18 5 0 07 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception Jiyoung Lee Seung Wook Kim Seunghyun Won Joonseok Lee Marzyeh Ghassemi James Thorne Jaeseok Choi O.-Kil Kwon E. Choi 18 1 0 03 Aug 2023
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems Michael Yuhas Arvind Easwaran 13 1 0 25 Jul 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 33 3 0 24 Jul 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers Jaeyoung Kim Kyuheon Jung Dongbin Na Sion Jang Eunbin Park Sungchul Choi OODD 22 6 0 18 Jul 2023
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts Johannes Jakubik Daniel Weber Patrick Hemmer Michael Vossing G. Satzger 21 2 0 06 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects J. Becktor Frederik E. T. Schöller Evangelos Boukas Lazaros Nalpantidis UQCV OOD 26 2 0 03 Jul 2023
Image Background Serves as Good Proxy for Out-of-distribution Data Sen Pei 30 1 0 02 Jul 2023
EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object Hyunseo Kim Hye Jung Yoon Minji Kim Dong-Sig Han Byoung-Tak Zhang 16 0 0 08 Jun 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery Shaozhe Hao Kai Han Kwan-Yee Kenneth Wong 34 16 0 14 Apr 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 40 26 0 24 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 24 3 0 14 Mar 2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection Menglong Chen Xingtai Gui Shicai Fan OODD 11 1 0 06 Feb 2023
Making Reconstruction-based Method Great Again for Video Anomaly Detection Yizhou Wang Can Qin Yue Bai Yi Xu Xu Ma Yun Fu ViT 23 18 0 28 Jan 2023
Free Lunch for Generating Effective Outlier Supervision Sen Pei Jiaxi Sun R. Xu Bin Fan Shiming Xiang Gaofeng Meng OODD 30 0 0 17 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning Seyyed Amirhossein Ameli Kalkhoran Mohammadamin Banayeeanzade Mahdi Samiei M. Baghshah BDL CLL 21 0 0 11 Jan 2023
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 18 1 0 08 Dec 2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection Pierre Colombo Eduardo Dadalto Camara Gomes Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 36 5 0 24 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 37 157 0 24 Nov 2022