v1v2 (latest)

Fast Decision Boundary based Out-of-Distribution Detector

International Conference on Machine Learning (ICML), 2023

15 December 2023

Litian Liu

Yao Qin

OODD

ArXiv (abs)PDF HTML Github (8★)

Papers citing "Fast Decision Boundary based Out-of-Distribution Detector"

22 / 22 papers shown

Title
TSRE: Channel-Aware Typical Set Refinement for Out-of-Distribution Detection Weijun Gao Rundong He Jinyang Dong Yongshun Gong OODD 338 0 0 19 Nov 2025
A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts C. César Claros Olivares Austin J. Brockmeier OODD 192 0 0 14 Nov 2025
DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection Arantxa Urrea-Castaño Nicolás Segura-Kunsagi Juan Luis Suárez-Díaz Rosana Montes F. Herrera OODD 229 0 0 06 Sep 2025
Activation Subspaces for Out-of-Distribution Detection Barış Zöngür Robin Hesse Stefan Roth OODD 172 1 0 29 Aug 2025
Multi-Method Ensemble for Out-of-Distribution Detection Lucas Rakotoarivony OODD 160 0 0 29 Aug 2025
Out-of-Distribution Detection using Counterfactual Distance Maria Stoica Francesco Leofante Alessio Lomuscio OODD 148 0 0 13 Aug 2025
OpenHAIV: A Framework Towards Practical Open-World Learning Xiang Xiang Yuwen Tan Zhuo Xu Jing Ma Jiaxin Dai Yifan Liang Hanlin Li CLL VLM 138 0 0 10 Aug 2025
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition Ryan Rabinowitz Steve Cruz Walter J. Scheirer Terrance Boult BDL 142 0 0 01 Aug 2025
COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP Galadrielle Humblot-Renaux Gianni Franchi Sergio Escalera T. Moeslund VLM OOD OODD 258 0 0 30 Jul 2025
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection Reihaneh Zohrabi Hosein Hasani M. Baghshah Anna Rohrbach Marcus Rohrbach M. Rohban OODD 296 1 0 30 Jun 2025
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration Kaiyu Guo Zijian Wang Tan Pan Brian C. Lovell Mahsa Baktashmotlagh OODD 360 0 0 11 Jun 2025
DynaSubVAE: Adaptive Subgrouping for Scalable and Robust OOD Detection Tina Behrouzi S. Tonekaboni Rahul G. Krishnan Anna Goldenberg 177 1 0 11 Jun 2025
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging Felix Wagner Pramit Saha Harry Anthony J. A. Noble Konstantinos Kamnitsas OOD 369 0 0 10 Jun 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Chenruo Liu Kenan Tang Yao Qin Qi Lei 242 1 0 28 May 2025
AdaSCALE: Adaptive Scaling for OOD Detection Sudarshan Regmi OODD 479 0 0 11 Mar 2025
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring Yuyan Chen Nico Lang B. Christian Schmidt Aditya Jain Yves Basset Sara Beery Maxim Larrivée David Rolnick 455 1 0 03 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing Xiang Xiang Zhuo Xu Yao Deng Yuwen Tan Yifan Liang Ke Chen Qingfang Zheng Yaowei Wang Xilin Chen Wen Gao VLM 354 3 0 28 Feb 2025
Image-based Outlier Synthesis With Training Data Sudarshan Regmi OODD 458 2 0 16 Nov 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 946 3 0 19 Oct 2024
Out-of-Distribution Detection with Relative Angles Berker Demirel Marco Fumero Francesco Locatello 336 0 0 06 Oct 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 421 6 0 18 May 2024
Detecting Out-of-Distribution Through the Lens of Neural CollapseComputer Vision and Pattern Recognition (CVPR), 2023 Litian Liu Yao Qin OODD 441 16 0 02 Nov 2023