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
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Y. Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 24 19 0 05 Jun 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 17 30 0 31 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 29 10 0 26 May 2023
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning Hongzuo Xu Yijie Wang Juhui Wei Songlei Jian Yizhou Li Ninghui Liu 22 29 0 25 May 2023
Unsupervised Anomaly Detection with Rejection Lorenzo Perini Jesse Davis 21 7 0 22 May 2023
Efficient Neural Network based Classification and Outlier Detection for Image Moderation using Compressed Sensing and Group Testing Sabyasachi Ghosh Sanyam Saxena Ajit V. Rajwade 22 0 0 12 May 2023
Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition Jun Cen Shiwei Zhang Xiang Wang Yixuan Pei Zhiwu Qing Yingya Zhang Qifeng Chen 26 3 0 25 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation Tomás Vojír Jan Sochman Rahaf Aljundi Juan E. Sala Matas OODD UQCV 19 6 0 23 Mar 2023
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder Yun-Yun Tsai Ju-Chin Chao Albert Wen Zhaoyuan Yang Chengzhi Mao Tapan Shah Junfeng Yang AAML 13 1 0 22 Mar 2023
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection Puning Yang Jian Liang Jie Cao R. He 34 12 0 22 Mar 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models Guoxuan Xia C. Bouganis UQCV 52 12 0 14 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 24 3 0 14 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection Nikolas Adaloglou Félix D. P. Michels Tim Kaiser M. Kollmann VLM 29 0 0 10 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation Qizhou Wang Junjie Ye Feng Liu Quanyu Dai Marcus Kalander Tongliang Liu Jianye Hao Bo Han OODD 149 45 0 09 Mar 2023
Non-Parametric Outlier Synthesis Leitian Tao Xuefeng Du Xiaojin Zhu Yixuan Li OODD 17 98 0 06 Mar 2023
Rule-based Out-Of-Distribution Detection Giacomo De Bernardi Sara Narteni E. Cambiaso Maurizio Mongelli OODD 31 3 0 03 Mar 2023
Convolutional Visual Prompt for Robust Visual Perception Yun-Yun Tsai Chengzhi Mao Junfeng Yang VLM VPVLM 31 13 0 01 Mar 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection Ming Xu Zheng Lian B. Liu Jianhua Tao OODD 16 7 0 23 Feb 2023
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting Zhenzhen Liu Jinjie Zhou Yufan Wang Kilian Q. Weinberger DiffM 21 36 0 20 Feb 2023
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition Jun Cen Di Luan Shiwei Zhang Yixuan Pei Yingya Zhang Deli Zhao Shaojie Shen Qifeng Chen 11 19 0 08 Feb 2023
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need Jingyao Li Pengguang Chen Shaozuo Yu Zexin He Shu Liu Jiaya Jia OODD 22 42 0 06 Feb 2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection Menglong Chen Xingtai Gui Shicai Fan OODD 11 1 0 06 Feb 2023
Anomalies, Representations, and Self-Supervision B. Dillon Luigi Favaro Friedrich Feiden Tanmoy Modak Tilman Plehn 21 9 0 11 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 26 1 0 11 Jan 2023
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models Feng Xue Zi He Chuanlong Xie Falong Tan Zhenguo Li OODD 25 7 0 24 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 17 30 0 05 Dec 2022
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models Albert Xu Xiang Ren Robin Jia OODD 22 2 0 28 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 40 157 0 24 Nov 2022
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection Luping Liu Yi Ren Xize Cheng Rongjie Huang Chongxuan Li Zhou Zhao 26 7 0 21 Nov 2022
Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection Vahid Reza Khazaie Anthony C. Wong Mohammad Sabokrou OODD 10 2 0 20 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 27 0 0 16 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection Yixin Liu Kaize Ding Huan Liu Shirui Pan 24 53 0 08 Nov 2022
Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection Nawid Keshtmand Raúl Santos-Rodríguez J. Lawry SSL 14 1 0 06 Nov 2022
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble Hyunsoo Cho Choonghyun Park Jaewoo Kang Kang Min Yoo Taeuk Kim Sang-goo Lee OODD 22 8 0 20 Oct 2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes Yifang Sun W. Wang OODD 16 5 0 13 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 54 24 0 13 Oct 2022
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses Anshuman Chhabra Ashwin Sekhari P. Mohapatra OOD AAML 37 8 0 04 Oct 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training Saehyung Lee Hyungyu Lee AAML 24 2 0 27 Sep 2022
Provably Uncertainty-Guided Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Paul L. Rosin Yibin Li Wei Emma Zhang OOD UQCV 42 0 0 19 Sep 2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions Zhenyi Wang Li Shen Le Fang Qiuling Suo Dongling Zhan Tiehang Duan Mingchen Gao OOD CLL 16 14 0 03 Sep 2022
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers Sangwoong Yoon Jinwon Choi Yonghyeon Lee Yung-Kyun Noh Frank C. Park OODD 19 1 0 20 Aug 2022
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success Jaemin Yoo Tianchen Zhao L. Akoglu 45 7 0 16 Aug 2022
Automatic Detection of Noisy Electrocardiogram Signals without Explicit Noise Labels Radhika Dua Jiyoung Lee Joon-Myoung Kwon E. Choi 17 0 0 08 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 44 39 0 04 Aug 2022
XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification Frej Berglind Haron Temam S. Mukhopadhyay K. Das Md Saiful Islam Sajol K. Sricharan Kumar Kallurupalli OODD 13 0 0 01 Aug 2022
Task Agnostic and Post-hoc Unseen Distribution Detection Radhika Dua Seong-sil Yang Yixuan Li E. Choi OODD 9 10 0 26 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 28 7 0 23 Jul 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring Nandita Bhaskhar D. Rubin Christopher Lee-Messer 12 5 0 22 Jul 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Hongliang Li Lin Ma Wei Emma Zhang 24 6 0 19 Jul 2022
Semantic Novelty Detection via Relational Reasoning Francesco Cappio Borlino S. Bucci Tatiana Tommasi 17 4 0 18 Jul 2022