How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

8 March 2022

Papers citing "How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?"

50 / 71 papers shown

Title
AdaSCALE: Adaptive Scaling for OOD Detection Sudarshan Regmi OODD 52 0 0 11 Mar 2025
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 42 0 0 03 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing Xiang Xiang Zhuo Xu Yao Deng Qinhao Zhou Yifan Liang Ke Chen Qingfang Zheng Yaowei Wang Xilin Chen Wen Gao VLM 43 0 0 28 Feb 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 196 0 0 27 Feb 2025
A margin-based replacement for cross-entropy loss Michael W. Spratling Heiko H. Schütt 63 0 0 21 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 95 0 0 20 Jan 2025
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection Amol Khanna Chenyi Ling Derek Everett Edward Raff Nathan Inkawhich OODD 23 0 0 05 Jan 2025
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan OODD 66 0 0 20 Dec 2024
Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts Jihye Choi Jayaram Raghuram Yixuan Li Somesh Jha 101 4 0 18 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings Aditya Sinha Siqi Zeng M. Yamada Han Zhao 65 0 0 02 Dec 2024
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects Zizhao Li Zhengkang Xiang Joseph West Kourosh Khoshelham ObjD VLM 94 1 0 27 Nov 2024
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection Xingming Long Jie M. Zhang Shiguang Shan Xilin Chen OODD 35 0 0 18 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 52 1 0 16 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 89 0 0 10 Nov 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models Yabin Zhang L. Zhang VLM OODD 23 2 0 26 Oct 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 45 14 0 15 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 23 0 0 11 Oct 2024
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection Jeng-Lin Li Ming-Ching Chang Wei-Chao Chen OODD 40 0 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 55 2 0 18 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection Xiang Fang Arvind Easwaran B. Genest 26 4 0 16 Sep 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning Dong Geun Shin Hye Won Chung OODD 22 0 0 20 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 30 3 0 09 Aug 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 34 1 0 16 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models Yabin Zhang Wenjie Zhu Chenhang He Lei Zhang VLM 43 7 0 12 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 32 1 0 04 Jul 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation Yixia Li Boya Xiong Guanhua Chen Yun Chen OODD 33 2 0 18 Jun 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability Yijin Zhou Yuguang Wang Xiaowen Dong Yuguang Wang 38 0 0 13 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 25 6 0 28 May 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 64 1 0 28 May 2024
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards Xiaoyu Yang Jie Lu Enshui Yu VLM 35 1 0 22 May 2024
Hyperbolic Metric Learning for Visual Outlier Detection Alvaro Gonzalez-Jimenez Simone Lionetti Dena Bazazian Philippe Gottfrois Fabian Gröger M. Pouly A. Navarini 44 1 0 22 Mar 2024
Open-World Semi-Supervised Learning for Node Classification Yanling Wang Jing Zhang Lingxi Zhang Lixin Liu Yuxiao Dong Cuiping Li Hong Chen Hongzhi Yin BDL 33 0 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 22 1 0 16 Mar 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling Jianan Fan Dongnan Liu Hang Chang Heng-Chiao Huang Mei Chen Weidong Cai 38 5 0 02 Mar 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng Yadan Luo Yonggang Zhang Yixuan Li Zhen Fang 24 12 0 27 Feb 2024
HYPO: Hyperspherical Out-of-Distribution Generalization Yifei Ming Haoyue Bai Julian Katz-Samuels Yixuan Li OODD OOD 27 8 0 12 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 36 26 0 05 Feb 2024
ARGS: Alignment as Reward-Guided Search Maxim Khanov Jirayu Burapacheep Yixuan Li 26 44 0 23 Jan 2024
Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport Chuanwen Feng Wenlong Chen Ao Ke Yilong Ren Xike Xie S.Kevin Zhou OODD 27 0 0 22 Jan 2024
Fast Decision Boundary based Out-of-Distribution Detector Litian Liu Yao Qin OODD 15 12 0 15 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
Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang Zhen Fang Yonggang Zhang Feng Liu Yixuan Li Bo Han OODD 25 31 0 03 Nov 2023
Scaling Riemannian Diffusion Models Aaron Lou Minkai Xu Stefano Ermon 17 8 0 30 Oct 2023
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection Zhuohao Sun Yiqiao Qiu Zhijun Tan Weishi Zheng Ruixuan Wang OODD 11 6 0 27 Oct 2023
Low-Dimensional Gradient Helps Out-of-Distribution Detection Yingwen Wu Tao Li Xinwen Cheng Jie-jin Yang Xiaolin Huang OODD 49 3 0 26 Oct 2023
Towards Open World Active Learning for 3D Object Detection Zhuoxiao Chen Yadan Luo Zixin Wang Zijian Wang Xin Yu Zi Huang 27 0 0 16 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 27 4 0 16 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection Mouin Ben Ammar Nacim Belkhir Sebastian Popescu Antoine Manzanera Gianni Franchi OODD 23 17 0 10 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 16 12 0 09 Oct 2023
FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score Haowei Lin Yuntian Gu OODD 10 6 0 08 Oct 2023