Road surface detection and differentiation considering surface damages

23 June 2020

Papers citing "Road surface detection and differentiation considering surface damages"

8 / 8 papers shown

Title
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 271 1,028 0 26 Mar 2018
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone Hiroya Maeda Y. Sekimoto Toshikazu Seto Takehiro Kashiyama Hiroshi Omata 43 674 0 29 Jan 2018
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes Hassan Abu Alhaija Siva Karthik Mustikovela L. Mescheder Andreas Geiger Carsten Rother 3DPC 61 442 0 04 Aug 2017
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling Sebastian Ramos S. Gehrig Peter Pinggera Uwe Franke Carsten Rother 131 174 0 20 Dec 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 972 11,587 0 06 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.0K 193,426 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.6K 76,917 0 18 May 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 375 43,524 0 01 May 2014