Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling

20 December 2016

Papers citing "Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling"

8 / 8 papers shown

Title
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 665 12,033 0 04 Dec 2016
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen Anton Van Den Hengel SSeg 641 1,518 0 30 Nov 2016
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles Peter Pinggera Sebastian Ramos S. Gehrig Uwe Franke Carsten Rother Rudolf Mester UQCV 55 192 0 15 Sep 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 747 37,890 0 20 May 2016
Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks Willem P. Sanberg Gijs Dubbelman Peter H. N. de With 47 26 0 08 Apr 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 1.1K 11,644 0 06 Apr 2016
Towards Open Set Deep Networks Abhijit Bendale Terrance Boult BDL EDL 104 1,433 0 19 Nov 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 485 43,694 0 17 Sep 2014