Learn and Link: Learning Critical Regions for Efficient Planning

8 March 2019

Papers citing "Learn and Link: Learning Critical Regions for Efficient Planning"

8 / 8 papers shown

Title
Learning Sampling Distributions for Robot Motion Planning Brian Ichter James Harrison Marco Pavone 22 351 0 16 Sep 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 680 15,718 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 989 76,547 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 260 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 632 149,474 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 761 99,991 0 04 Sep 2014
Batch Informed Trees (BIT*): Sampling-based Optimal Planning via the Heuristically Guided Search of Implicit Random Geometric Graphs Jonathan Gammell S. Srinivasa Timothy D. Barfoot 42 445 0 22 May 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 221 15,825 0 12 Nov 2013