Design Methodology for Deep Out-of-Distribution Detectors in Real-Time
Cyber-Physical Systems

Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems

29 July 2022

Daniel Jun Xian Ng

Arvind Easwaran

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Papers citing "Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems"

6 / 6 papers shown

Title
Efficient Out-of-Distribution Detection Using Latent Space of $β$ -VAE for Cyber-Physical Systems Shreyas Ramakrishna Zahra Rahiminasab G. Karsai Arvind Easwaran Abhishek Dubey OODD 67 28 0 26 Aug 2021
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization Lukas Stäcker Juncong Fei Philipp Heidenreich Frank Bonarens J. Rambach D. Stricker Christoph Stiller 50 23 0 18 Aug 2021
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications Yeli Feng Daniel Jun Xian Ng Arvind Easwaran OODD 68 18 0 25 Jul 2021
Embedded out-of-distribution detection on an autonomous robot platform Michael Yuhas Yeli Feng Daniel Jun Xian Ng Zahra Rahiminasab Arvind Easwaran 49 14 0 30 Jun 2021
OpenEI: An Open Framework for Edge Intelligence Xingzhou Zhang Yifan Wang Sidi Lu Liangkai Liu Lanyu Xu Weisong Shi 69 101 0 05 Jun 2019
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 179 3,480 0 07 Oct 2016

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