Quality Resilient Deep Neural Networks

23 March 2017

Papers citing "Quality Resilient Deep Neural Networks"

11 / 11 papers shown

Title
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection Lynn Vonderhaar Timothy Elvira T. Procko Omar Ochoa 49 0 0 21 Jun 2024
Test-Time Training with Masked Autoencoders Yossi Gandelsman Yu Sun Xinlei Chen Alexei A. Efros OOD 47 165 0 15 Sep 2022
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation Wei Dai Daniel Berleant VLM AAML 27 8 0 02 Mar 2022
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 30 0 0 18 Nov 2021
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images Yu-cui Shen L. Zheng Manli Shu Weizi Li Tom Goldstein Ming Lin AAML 39 6 0 26 Feb 2021
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 26 91 0 22 Oct 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 24 19 0 19 Aug 2020
A simple way to make neural networks robust against diverse image corruptions E. Rusak Lukas Schott Roland S. Zimmermann Julian Bitterwolf Oliver Bringmann Matthias Bethge Wieland Brendel 21 64 0 16 Jan 2020
One-Shot Item Search with Multimodal Data Jonghwa Yim Junghun Kim D. Shin 24 3 0 27 Nov 2018
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets Jonghwa Yim Kyung-ah Sohn 29 54 0 18 Oct 2017
DeepCorrect: Correcting DNN models against Image Distortions Tejas S. Borkar Lina Karam 27 94 0 05 May 2017