SSD: A Unified Framework for Self-Supervised Outlier Detection

22 March 2021

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

49 / 199 papers shown

Title
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors V. Narayanaswamy Yamen Mubarka Rushil Anirudh Deepta Rajan A. Spanias Jayaraman J. Thiagarajan OOD 4 1 0 12 Jul 2022
Class-Specific Semantic Reconstruction for Open Set Recognition Hongzhi Huang Yu Wang Qinghua Hu Mingg-Ming Cheng BDL 34 58 0 05 Jul 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 27 113 0 28 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 32 295 0 19 Jun 2022
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data Zhilin Zhao LongBing Cao Kun-Yu Lin OOD 19 2 0 19 Jun 2022
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection Zhilin Zhao LongBing Cao Kun-Yu Lin 19 4 0 19 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection Wenyu Jiang Yuxin Ge Hao Cheng Mingcai Chen Shuai Feng Chongjun Wang OODD 21 10 0 15 Jun 2022
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection Abderrahmen Amich Ata Kaboudi Birhanu Eshete AAML OODD 15 1 0 15 Jun 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook H. Hojjati Thi Kieu Khanh Ho Narges Armanfard 24 34 0 10 May 2022
Deep Federated Anomaly Detection for Multivariate Time Series Data Wei Zhu Dongjin Song Yuncong Chen Wei Cheng Bo Zong Takehiko Mizoguchi C. Lumezanu Haifeng Chen Jiebo Luo FedML OOD AI4TS 18 5 0 09 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 19 487 0 13 Apr 2022
Self-Supervised Losses for One-Class Textual Anomaly Detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin 8 7 0 12 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models Vikash Sehwag C. Hazirbas Albert Gordo Firat Ozgenel Cristian Canton Ferrer DiffM 33 66 0 31 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 26 3 0 19 Mar 2022
Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space Poulami Sinhamahapatra Rajat Koner Karsten Roscher Stephan Günnemann OODD 11 5 0 16 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming Yiyou Sun Ousmane Amadou Dia Yixuan Li OODD 26 95 0 08 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 34 90 0 08 Mar 2022
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem Abderrahmen Amich Birhanu Eshete OOD 10 4 0 18 Feb 2022
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling Nima Rafiee Rahil Gholamipoorfard Nikolas Adaloglou Simon Jaxy Julius Ramakers M. Kollmann OODD 15 8 0 17 Jan 2022
Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification Jingbo Sun Li Yang Jiaxin Zhang Frank Liu M. Halappanavar Deliang Fan Yu Cao 8 12 0 18 Dec 2021
Out-of-Distribution Detection Without Class Labels Niv Cohen Ron Abutbul Yedid Hoshen OODD 24 10 0 14 Dec 2021
Outlier Detection using AI: A Survey Md. Nazmul Kabir Sikder Feras A. Batarseh 33 23 0 01 Dec 2021
FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 11 4 0 30 Nov 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 24 6 0 26 Nov 2021
SLA $^2$ P: Self-supervised Anomaly Detection with Adversarial Perturbation Yizhou Wang Can Qin Rongzhe Wei Yi Tian Xu Yue Bai Y. Fu AAML 21 5 0 25 Nov 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 29 19 0 24 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 30 151 0 18 Nov 2021
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection Max Torop S. Ghimire Wenqian Liu Dana H. Brooks Octavia Camps M. Rajadhyaksha Jennifer Dy Kivanc Kose 20 0 0 08 Nov 2021
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary Nikolaos Dionelis Mehrdad Yaghoobi Sotirios A. Tsaftaris OODD 15 6 0 28 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 25 190 0 26 Oct 2021
Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task Jiuhai Chen Chen Zhu Bin Dai OODD 11 3 0 26 Oct 2021
Pediatric Otoscopy Video Screening with Shift Contrastive Anomaly Detection Weiyao Wang Aniruddha Tamhane Christine Santos J. Rzasa James H Clark Therese L. Canares Mathias Unberath 27 4 0 25 Oct 2021
Natural Attribute-based Shift Detection Jeonghoon Park Jimin Hong Radhika Dua Daehoon Gwak Yixuan Li Jaegul Choo E. Choi OOD 25 3 0 18 Oct 2021
Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead Kamil Szyc T. Walkowiak H. Maciejewski OODD 19 0 0 13 Oct 2021
Visual Anomaly Detection for Images: A Survey Jie Yang Rui Xu Zhiquan Qi Yong Shi 22 35 0 27 Sep 2021
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings Mazda Moayeri S. Feizi AAML 13 19 0 30 Aug 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data Zhi-Fan Wu Tong Wei Jianwen Jiang Chaojie Mao Mingqian Tang Yu-Feng Li 11 80 0 25 Aug 2021
Out-of-Distribution Detection Using Outlier Detection Methods Jan Diers Christian Pigorsch OODD 16 3 0 18 Aug 2021
OODformer: Out-Of-Distribution Detection Transformer Rajat Koner Poulami Sinhamahapatra Karsten Roscher Stephan Günnemann Volker Tresp ViT 12 40 0 19 Jul 2021
Test Sample Accuracy Scales with Training Sample Density in Neural Networks Xu Ji Razvan Pascanu Devon Hjelm Balaji Lakshminarayanan Andrea Vedaldi 22 7 0 15 Jun 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 20 4 0 15 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 19 31 0 09 Jun 2021
Shifting Transformation Learning for Out-of-Distribution Detection Sina Mohseni Arash Vahdat J. Yadawa OODD 8 7 0 07 Jun 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 12 18 0 19 May 2021
Semi-supervised novelty detection using ensembles with regularized disagreement A. Tifrea E. Stavarache Fanny Yang UQCV 26 6 0 10 Dec 2020
Probing Predictions on OOD Images via Nearest Categories Yao-Yuan Yang Cyrus Rashtchian Ruslan Salakhutdinov Kamalika Chaudhuri AAML 20 0 0 17 Nov 2020
Anomaly Detection by Recombining Gated Unsupervised Experts Jan-Philipp Schulze Philip Sperl Konstantin Böttinger 29 1 0 31 Aug 2020
Deep Variational Semi-Supervised Novelty Detection Tal Daniel Thanard Kurutach Aviv Tamar DRL UQCV 9 21 0 12 Nov 2019