Back to the Basics: Revisiting Out-of-Distribution Detection Baselines

7 July 2022

Papers citing "Back to the Basics: Revisiting Out-of-Distribution Detection Baselines"

19 / 19 papers shown

Title
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies C. Ciușdel Alex Serban Tiziano Passerini CoGe 74 1 0 03 Feb 2025
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 89 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 117 2 0 22 Nov 2024
Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning Wassim Bouaziz El-Mahdi El-Mhamdi Nicolas Usunier TDI AAML 36 1 0 09 Oct 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz Manuel Heurich Tim Landgraf OODD 46 1 0 27 May 2024
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere H. Li Ouyang Cheng Tamaz Amiranashvili Matthew S. Rosen Bjoern H. Menze J. Iglesias 43 0 0 26 May 2024
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness Fran Jelenić Josip Jukić Martin Tutek Mate Puljiz Jan vSnajder OODD 26 5 0 04 Oct 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection Eduardo Aguilar Bogdan Raducanu P. Radeva Joost van de Weijer OODD EDL 22 7 0 06 Sep 2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise Fahimeh Fooladgar Minh Nguyen Nhat To P. Mousavi Purang Abolmaesumi NoLa 32 4 0 13 Aug 2023
Image Outlier Detection Without Training using RANSAC Chen-Han Tsai Yu-Shao Peng 21 0 0 23 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks M. Baran Joanna Baran Mateusz Wójcik Maciej Ziȩba Adam Gonczarek OODD 44 4 0 13 Jul 2023
Detecting Errors in a Numerical Response via any Regression Model Hang Zhou Jonas W. Mueller Mayank Kumar Jane-ling Wang Jing-Sheng Lei 28 0 0 26 May 2023
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification Dajana Dimitrić M. Simić Vladimir Risojević 24 0 0 29 Mar 2023
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon OOD UQCV 44 12 0 07 Feb 2023
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 879 0 21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 405 0 12 Oct 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 143 103 0 14 Jul 2021
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 161 84 0 21 Mar 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 97 607 0 13 Mar 2020