Nearest Neighbor Guidance for Out-of-Distribution Detection

26 September 2023

Papers citing "Nearest Neighbor Guidance for Out-of-Distribution Detection"

23 / 23 papers shown

Title
Mahalanobis++: Improving OOD Detection via Feature Normalization Maximilian Mueller Matthias Hein OODD 107 0 0 23 May 2025
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 101 1 0 16 Nov 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 247 0 0 27 Oct 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 104 1 0 21 Jun 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv Mingzhen He Xiaolin Huang Jie Yang OODD 82 2 0 05 Feb 2024
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 104 128 0 26 Oct 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 195 519 0 13 Apr 2022
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 103 476 0 24 Nov 2021
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving Xuanchi Ren Tao Yang Erran L. Li Alexandre Alahi Qifeng Chen 53 25 0 03 Sep 2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation Sanghun Jung Jungsoo Lee Daehoon Gwak Sungha Choi Jaegul Choo 116 94 0 23 Jul 2021
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 84 140 0 21 Jul 2021
OODformer: Out-Of-Distribution Detection Transformer Rajat Koner Poulami Sinhamahapatra Karsten Roscher Stephan Günnemann Volker Tresp ViT 45 40 0 19 Jul 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,355 0 08 Oct 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 108 546 0 01 Jul 2020
Designing Network Design Spaces Ilija Radosavovic Raj Prateek Kosaraju Ross B. Girshick Kaiming He Piotr Dollár GNN 100 1,682 0 30 Mar 2020
Scaling Out-of-Distribution Detection for Real-World Settings Dan Hendrycks Steven Basart Mantas Mazeika Andy Zou Joe Kwon Mohammadreza Mostajabi Jacob Steinhardt D. Song OODD 167 479 0 25 Nov 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 200 1,469 0 16 Jul 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 113 1,714 0 13 Feb 2019
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem Matthias Hein Maksym Andriushchenko Julian Bitterwolf OODD 167 558 0 13 Dec 2018
Reducing Network Agnostophobia A. Dhamija Manuel Günther Terrance E. Boult AAML UQCV 61 302 0 09 Nov 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 178 19,271 0 13 Jan 2018
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 155 3,452 0 07 Oct 2016
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 116 2,671 0 14 Nov 2013