Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection

4 March 2022

Papers citing "Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection"

34 / 34 papers shown

Title
Multi-label out-of-distribution detection via evidential learning Eduardo Aguilar Bogdan Raducanu Petia Radeva OODD 58 0 0 25 Feb 2025
Autoencoders for Anomaly Detection are Unreliable Roel Bouman Tom Heskes 46 1 0 23 Jan 2025
Concept Matching with Agent for Out-of-Distribution Detection YuXiao Lee Xiaofeng Cao Jingcai Guo Wei Ye Qing Guo Yi Chang 69 0 0 08 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jingyang Zhang Yishuo Wang C. Zhao 61 3 0 03 Jan 2025
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan OODD 84 0 0 20 Dec 2024
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection Long Qian Bingke Zhu Yingying Chen Ming Tang Jize Wang 90 2 0 30 Nov 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 30 1 0 11 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 68 3 0 18 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection Xiang Fang Arvind Easwaran B. Genest 36 4 0 16 Sep 2024
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization Qiyu Chen Huiyuan Luo Chengkan Lv Zhengtao Zhang 37 16 0 12 Jul 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models Samar Fares Klea Ziu Toluwani Aremu N. Durasov Martin Takáč Pascal Fua Karthik Nandakumar Ivan Laptev VLM AAML 40 4 0 13 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 37 10 0 02 Jun 2024
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong Yue Zhao Eleni Chatzi Olga Fink OODD 43 11 0 27 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 47 1 0 21 May 2024
Pedestrian Attribute Recognition as Label-balanced Multi-label Learning Yibo Zhou Hai-Miao Hu Yirong Xiang Xiaokang Zhang Haotian Wu 33 3 0 08 May 2024
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images Mareike Thies Noah Maul Siyuan Mei Laura Pfaff Nastassia Vysotskaya ... Jonas Utz Dennis Possart Lukas Folle Fabian Wagner Andreas Maier MedIm DiffM 36 0 0 23 Apr 2024
Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models Georges Le Bellier Nicolas Audebert 32 5 0 19 Apr 2024
Beyond the Known: Adversarial Autoencoders in Novelty Detection Muhammad Asad Ihsan Ullah Ganesh Sistu Michael G. Madden AAML UQCV 24 0 0 06 Apr 2024
Enabling Uncertainty Estimation in Iterative Neural Networks N. Durasov Doruk Öner Jonathan Donier Hieu M. Le Pascal Fua UQCV 54 8 0 25 Mar 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng Yadan Luo Yonggang Zhang Yixuan Li Zhen Fang 34 12 0 27 Feb 2024
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos Divyanshu Mishra He Zhao Pramit Saha A. Papageorghiou J. A. Noble MedIm 27 10 0 01 Nov 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 20 6 0 27 Oct 2023
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception Yangheng Zhao Zhen Xiang Sheng Yin Xianghe Pang Siheng Chen Yanfeng Wang AAML 29 6 0 18 Oct 2023
Unsupervised Recognition of Unknown Objects for Open-World Object Detection Ru Fang Guansong Pang Lei Zhou Xiaolong Bai Jingyi Zheng 18 5 0 31 Aug 2023
Out-of-Distribution Detection for Monocular Depth Estimation Julia Hornauer Adrian Holzbock Vasileios Belagiannis UQCV 35 4 0 11 Aug 2023
A Solution to Co-occurrence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition Yibo Zhou Hai-Miao Hu Jinzuo Yu Zhenbo Xu Weiqing Lu Yuran Cao 17 4 0 28 Jul 2023
Towards Open Vocabulary Learning: A Survey Jianzong Wu Xiangtai Li Shilin Xu Haobo Yuan Henghui Ding ... Jiangning Zhang Yu Tong Xudong Jiang Guohao Li Dacheng Tao ObjD VLM 45 136 0 28 Jun 2023
Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method Yifei Gao Zhi Lin Yunfan Yang Jitao Sang AAML 31 4 0 03 Jun 2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection Menglong Chen Xingtai Gui Shicai Fan OODD 13 1 0 06 Feb 2023
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 30 10 0 21 Nov 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection Jingkang Yang Pengyun Wang Dejian Zou Zitang Zhou Kun Ding ... Kaiyang Zhou Wayne Zhang Dan Hendrycks Yixuan Li Ziwei Liu OODD 28 226 0 13 Oct 2022
What do we learn? Debunking the Myth of Unsupervised Outlier Detection Cosmin I. Bercea Daniel Rueckert Julia A. Schnabel OODD 19 5 0 08 Jun 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge Ryota Hinami Tao Mei Shiníchi Satoh 114 228 0 26 Sep 2017