Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output

23 October 2019

Papers citing "Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output"

9 / 9 papers shown

Title
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity Junkun Chen Jilin Mei Liang Chen Fangzhou Zhao Yu Hu Yu Hu ObjD 40 0 0 09 Sep 2024
Rule-based Out-Of-Distribution Detection Giacomo De Bernardi Sara Narteni E. Cambiaso Maurizio Mongelli OODD 28 3 0 03 Mar 2023
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images Zhongzheng Huang Tao Wang Yuanzheng Cai Lingyu Liang 9 0 0 18 Jan 2023
Interpreting deep learning output for out-of-distribution detection Damian J. Matuszewski I. Sintorn OODD 27 1 0 07 Nov 2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection Haoliang Wang Chengli Zhao Xujiang Zhao Feng Chen OODD 14 7 0 01 Mar 2022
Out-of-distribution Detection with Boundary Aware Learning Sen Pei Xin Zhang Bin Fan Gaofeng Meng OODD 13 8 0 22 Dec 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 20 114 0 30 Apr 2021
Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets Zhihui Shao Jianyi Yang Shaolei Ren OODD 27 11 0 16 Jun 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015