Vulnerable road user detection: state-of-the-art and open challenges

10 February 2019

Papers citing "Vulnerable road user detection: state-of-the-art and open challenges"

5 / 5 papers shown

Title
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 99 692 0 18 Dec 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art J. Janai Fatma Guney Aseem Behl Andreas Geiger 116 795 0 18 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 359 4,709 0 15 Mar 2017
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 177 5,641 0 20 May 2016
How Far are We from Solving Pedestrian Detection? Shanshan Zhang Rodrigo Benenson Mohamed Omran J. Hosang Bernt Schiele 57 492 0 03 Feb 2016