DOS: Diverse Outlier Sampling for Out-of-Distribution Detection

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DOS: Diverse Outlier Sampling for Out-of-Distribution Detection

3 June 2023

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Papers citing "DOS: Diverse Outlier Sampling for Out-of-Distribution Detection"

9 / 9 papers shown

Title
Data Pruning by Information Maximization Haoru Tan Sitong Wu Wei Huang Shizhen Zhao Xiaojuan Qi 65 1 0 02 Jun 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging Zhiwei Ling Yachen Chang Hailiang Zhao Xinkui Zhao Kingsum Chow Shuiguang Deng OODD 136 1 0 01 Mar 2025
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 175 1 0 16 Nov 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
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 114 5 0 15 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Yixuan Li Hongxin Wei VLM 174 2 0 03 Oct 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 117 4 0 28 May 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 115 7 0 18 Apr 2024
Contextual Diversity for Active Learning Sharat Agarwal H. Arora Saket Anand Chetan Arora 185 172 0 13 Aug 2020