Deep Neural Network Perception Models and Robust Autonomous Driving Systems

4 March 2020

Papers citing "Deep Neural Network Perception Models and Robust Autonomous Driving Systems"

6 / 6 papers shown

Title
Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing Phillip Karle F. Fent Sebastian Huch Florian Sauerbeck Markus Lienkamp 22 31 0 12 Oct 2023
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 50 63 0 02 Mar 2020
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 145 424 0 16 Apr 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen A. Hengel SSeg 245 1,490 0 30 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,109 0 04 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015