SSD: A Unified Framework for Self-Supervised Outlier Detection

22 March 2021

Papers citing "SSD: A Unified Framework for Self-Supervised Outlier Detection"

50 / 199 papers shown

Title
Can We Ignore Labels In Out of Distribution Detection? Hong Yang Qi Yu Travis Desel OODD 38 0 0 20 Apr 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection Yue Hou He Zhu Ruomei Liu Yingke Su Jinxiang Xia Junran Wu Ke Xu OODD 106 0 0 13 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 51 0 0 09 Mar 2025
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation Romain Hermary Vincent Gaudillière Abd El Rahman Shabayek Djamila Aouada AAML 54 1 0 07 Mar 2025
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data Y. Li Xiangkun Wang Xin Yang Marcello Bonsangue J. Zhang Tianrui Li CLL VLM 54 0 0 28 Feb 2025
Category-free Out-of-Distribution Node Detection with Feature Resonance Shenzhi Yang Junbo Zhao Shouqing Yang Yixuan Li Dingyu Yang Xiaofang Zhang Haobo Wang OODD 51 0 0 22 Feb 2025
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Dong Chen Zhengqing Hu Peiguang Fan Yueting Zhuang Yafei Li Qidong Liu Xiaoheng Jiang Mingliang Xu VLM 46 0 0 14 Feb 2025
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Martin Aubard Ana Madureira Luis F. Teixeira José Pinto AAML 73 2 0 16 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings Aditya Sinha Siqi Zeng M. Yamada Han Zhao 76 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
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector Jiankang Chen Ling Deng Zhiyong Gan Wei-Shi Zheng Ruixuan Wang OODD 84 0 0 22 Nov 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection Jiankang Chen Tong Zhang Wei-Shi Zheng Ruixuan Wang OODD 109 2 0 22 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 54 1 0 16 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 137 1 0 10 Nov 2024
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors Jeongsoo Park Andrew Owens 34 3 0 06 Nov 2024
eDOC: Explainable Decoding Out-of-domain Cell Types with Evidential Learning Chaochen Wu Meiyun Zuo Lei Xie 40 0 0 30 Oct 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 110 0 0 27 Oct 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models Yabin Zhang L. Zhang VLM OODD 28 2 0 26 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 32 3 0 17 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 46 2 0 15 Oct 2024
Look Around and Find Out: OOD Detection with Relative Angles Berker Demirel Marco Fumero Francesco Locatello 29 0 0 06 Oct 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang Yixuan Li CML 34 0 0 26 Sep 2024
Learning Multi-Manifold Embedding for Out-Of-Distribution Detection Jeng-Lin Li Ming-Ching Chang Wei-Chao Chen OODD 48 1 0 19 Sep 2024
Universal Novelty Detection Through Adaptive Contrastive Learning Hossein Mirzaei Mojtaba Nafez Mohammad Jafari Mohammad Bagher Soltani Mohammad Azizmalayeri Jafar Habibi Mohammad Sabokrou M. Rohban 16 4 0 20 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning Dong Geun Shin Hye Won Chung OODD 24 0 0 20 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 32 3 0 09 Aug 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Yuchen Sun Qingming Huang OODD 37 0 0 31 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai-Chun Liu Zhihang Fu Chao Chen Sheng Jin Ze Chen Mingyuan Tao Rongxin Jiang Jieping Ye VLM OODD 56 4 0 23 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 40 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 45 7 0 12 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
GalLoP: Learning Global and Local Prompts for Vision-Language Models Marc Lafon Elias Ramzi Clément Rambour Nicolas Audebert Nicolas Thome VLM 39 8 0 01 Jul 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 34 8 0 21 Jun 2024
Continual Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 33 0 0 04 Jun 2024
Scaling Up Deep Clustering Methods Beyond ImageNet-1K Nikolas Adaloglou Félix D. P. Michels Kaspar Senft Diana Petrusheva M. Kollmann 41 1 0 03 Jun 2024
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection Chentao Cao Zhun Zhong Zhanke Zhou Yang Liu Tongliang Liu Bo Han OODD 22 10 0 02 Jun 2024
Anomaly Detection by Context Contrasting Alain Ryser Thomas M. Sutter Alexander Marx Julia E. Vogt 43 0 0 29 May 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 29 7 0 28 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 35 10 0 27 May 2024
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards Xiaoyu Yang Jie Lu Enshui Yu VLM 42 1 0 22 May 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng Alexandre H. Thiery Harold Soh 41 0 0 20 May 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 45 8 0 14 May 2024
Critical Review for One-class Classification: recent advances and the reality behind them Toshitaka Hayashi Dalibor Cimr Hamido Fujita R. Cimler 42 1 0 27 Apr 2024
Taming False Positives in Out-of-Distribution Detection with Human Feedback Harit Vishwakarma Heguang Lin Ramya Korlakai Vinayak OODD 16 4 0 25 Apr 2024
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models Georges Le Bellier Nicolas Audebert 32 4 0 19 Apr 2024
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone? Van Nguyen Xingliang Yuan Tingmin Wu Surya Nepal M. Grobler Carsten Rudolph 24 1 0 09 Apr 2024
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble Chenhui Xu Fuxun Yu Zirui Xu Nathan Inkawhich Xiang Chen OODD 27 5 0 24 Mar 2024
Hyperbolic Metric Learning for Visual Outlier Detection Alvaro Gonzalez-Jimenez Simone Lionetti Dena Bazazian Philippe Gottfrois Fabian Gröger M. Pouly A. Navarini 56 1 0 22 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 30 1 0 16 Mar 2024
Energy Correction Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Clément Rambour Nicolas Thome OODD 25 0 0 15 Mar 2024