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
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 41 27 0 05 Feb 2024
Zero-shot Object-Level OOD Detection with Context-Aware Inpainting Quang-Huy Nguyen Jin Peng Zhou Zhenzhen Liu Khanh-Huyen Bui Kilian Q. Weinberger Dung D. Le 18 1 0 05 Feb 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv M. He Xiaolin Huang Jie-jin Yang OODD 46 2 0 05 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu Dong Gong Shuo Wang Jason Xue Lina Yao Kristen Moore OODD 55 22 0 05 Feb 2024
Multitask Active Learning for Graph Anomaly Detection Wenjing Chang Kay Liu Kaize Ding Philip S. Yu Jianjun Yu 42 8 0 24 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 30 0 0 22 Jan 2024
GOODAT: Towards Test-time Graph Out-of-Distribution Detection Luzhi Wang Dongxiao He He Zhang Yixin Liu Wenjie Wang Shirui Pan Di Jin Tat-Seng Chua OODD OOD 26 10 0 10 Jan 2024
Understanding normalization in contrastive representation learning and out-of-distribution detection T. L. Gia Jaehyun Ahn OODD 27 1 0 23 Dec 2023
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? Soumya Suvra Ghosal Yiyou Sun Yixuan Li OODD 22 10 0 22 Dec 2023
Fast Decision Boundary based Out-of-Distribution Detector Litian Liu Yao Qin OODD 15 12 0 15 Dec 2023
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting Anthony Chen Huanrui Yang Yulu Gan Denis A. Gudovskiy Zhen Dong Haofan Wang Tomoyuki Okuno Yohei Nakata Kurt Keutzer Shanghang Zhang 21 2 0 14 Dec 2023
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention Franciskus Xaverius Erick Mina Rezaei Johanna P. Müller Bernhard Kainz 13 0 0 30 Nov 2023
Model-free Test Time Adaptation for Out-Of-Distribution Detection Yi-Fan Zhang Xue Wang Tian Zhou Kun Yuan Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan TTA OODD 30 4 0 28 Nov 2023
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation Hao Dong Gaëtan Frusque Yue Zhao Eleni Chatzi Olga Fink AAML 21 5 0 20 Nov 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources Haotian Zheng Qizhou Wang Zhen Fang Xiaobo Xia Feng Liu Tongliang Liu Bo Han 151 23 0 06 Nov 2023
Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang Zhen Fang Yonggang Zhang Feng Liu Yixuan Li Bo Han OODD 30 32 0 03 Nov 2023
Detecting Out-of-Distribution Through the Lens of Neural Collapse Litian Liu Yao Qin OODD 36 5 0 02 Nov 2023
Scaling Riemannian Diffusion Models Aaron Lou Minkai Xu Stefano Ermon 22 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 18 6 0 27 Oct 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park J. Mok Dahuin Jung Saehyung Lee Sung-Hoon Yoon 22 10 0 25 Oct 2023
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels Xin-Yang Zheng Miao Zhang C. Chen Soheila Molaei Chuan Zhou Shirui Pan GNN 34 14 0 23 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation Jianing Zhu Geng Yu Jiangchao Yao Tongliang Liu Gang Niu Masashi Sugiyama Bo Han OODD 29 30 0 21 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 37 4 0 16 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 24 12 0 09 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category Shift Chaoqi Chen Luyao Tang Leitian Tao Hong-Yu Zhou Yue Huang Xiaoguang Han Yizhou Yu OOD 22 10 0 07 Oct 2023
Improving Vision Anomaly Detection with the Guidance of Language Modality Dong Chen Kaihang Pan Guoming Wang Yueting Zhuang Siliang Tang 20 3 0 04 Oct 2023
OOD Aware Supervised Contrastive Learning Soroush Seifi Daniel Olmeda Reino N. Chumerin Rahaf Aljundi OODD 26 2 0 03 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 142 6 0 02 Oct 2023
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets Daria Reshetova Swetava Ganguli C. V. K. Iyer Vipul Pandey 18 3 0 26 Sep 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection Jaewoo Park Yoon Gyo Jung Andrew Beng Jin Teoh OODD 25 30 0 26 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 22 53 0 23 Sep 2023
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition Haoxuan Qu Xiaofei Hui Yujun Cai Jun Liu 43 10 0 22 Sep 2023
Environment-biased Feature Ranking for Novelty Detection Robustness Stefan Smeu Elena Burceanu Emanuela Haller Andrei Liviu Nicolicioiu OOD 36 0 0 21 Sep 2023
Understanding the limitations of self-supervised learning for tabular anomaly detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin SSL 29 0 0 15 Sep 2023
Introspective Deep Metric Learning Cheng-Hao Wang Wenzhao Zheng Zheng Hua Zhu Jie Zhou Jiwen Lu UQCV 28 12 0 11 Sep 2023
Combining pre-trained Vision Transformers and CIDER for Out Of Domain Detection Grégor Jouet Clément Duhart Francis Rousseaux Julio Laborde Cyril de Runz ViT 27 0 0 06 Sep 2023
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning Amirhossein Vahidi Lisa Wimmer H. Gündüz Bernd Bischl Eyke Hüllermeier Mina Rezaei OOD UQCV 25 4 0 28 Aug 2023
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance J. Haas OODD 12 0 0 21 Aug 2023
From Global to Local: Multi-scale Out-of-distribution Detection Ji Zhang Lianli Gao Bingguang Hao Hao Huang Jingkuan Song H. Shen OODD 26 16 0 20 Aug 2023
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection Guodong Wang Yun Wang Jie Qin Dongming Zhang Xiuguo Bao Di Huang 27 4 0 20 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models Ruiyuan Gao Chenchen Zhao Lanqing Hong Q. Xu 26 14 0 15 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes Yunho Song Donglin Wang OODD 11 38 0 13 Aug 2023
Three Factors to Improve Out-of-Distribution Detection Hyunjun Choi Jaeho Chung Hawook Jeong J. Choi OODD 20 2 0 02 Aug 2023
Image Outlier Detection Without Training using RANSAC Chen-Han Tsai Yu-Shao Peng 13 0 0 23 Jul 2023
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection Jaemin Yoo Yue Zhao Lingxiao Zhao L. Akoglu 9 5 0 13 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 31 0 0 07 Jul 2023
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection Jaemin Yoo Lingxiao Zhao L. Akoglu 30 4 0 21 Jun 2023
Improving Selective Visual Question Answering by Learning from Your Peers Corentin Dancette Spencer Whitehead Rishabh Maheshwary Ramakrishna Vedantam Stefan Scherer Xinlei Chen Matthieu Cord Marcus Rohrbach AAML OOD 38 16 0 14 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu Hengzhuang Li Jiangchao Yao Tongliang Liu Jianliang Xu Bo Han OODD 40 12 0 06 Jun 2023
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection Eduardo Dadalto Camara Gomes Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 33 2 0 06 Jun 2023