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Hierarchical Recurrent Attention Networks for Structured Online Maps

Hierarchical Recurrent Attention Networks for Structured Online Maps

22 December 2020
N. Homayounfar
Wei-Chiu Ma
S. K. Lakshmikanth
R. Urtasun
    3DPC
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Papers citing "Hierarchical Recurrent Attention Networks for Structured Online Maps"

15 / 15 papers shown
Title
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
Juan Carlos Climent Pardo
156
0
0
24 Apr 2025
VPGNet: Vanishing Point Guided Network for Lane and Road Marking
  Detection and Recognition
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
Seokju Lee
Junsik Kim
Jae Shin Yoon
Seunghak Shin
Oleksandr Bailo
Namil Kim
Taeyeop Lee
Hyun Seok Hong
Seung-Hoon Han
In So Kweon
95
406
0
17 Oct 2017
LinkNet: Exploiting Encoder Representations for Efficient Semantic
  Segmentation
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia
Eugenio Culurciello
SSeg
67
1,377
0
14 Jun 2017
CASENet: Deep Category-Aware Semantic Edge Detection
CASENet: Deep Category-Aware Semantic Edge Detection
Zhiding Yu
Chen Feng
Ming-Yuan Liu
Srikumar Ramalingam
50
268
0
27 May 2017
Annotating Object Instances with a Polygon-RNN
Annotating Object Instances with a Polygon-RNN
Lluis Castrejon
Kaustav Kundu
R. Urtasun
Sanja Fidler
SSeg
100
360
0
18 Apr 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
446
22,040
0
09 Dec 2016
TorontoCity: Seeing the World with a Million Eyes
TorontoCity: Seeing the World with a Million Eyes
Shenlong Wang
Min Bai
Gellért Máttyus
Hang Chu
Wenjie Luo
Binh Yang
Justin Liang
Joel Cheverie
Sanja Fidler
R. Urtasun
3DV
ViT
60
178
0
01 Dec 2016
Learning to Refine Object Segments
Learning to Refine Object Segments
Pedro H. O. Pinheiro
Nayeon Lee
R. Collobert
Piotr Dollàr
SSeg
67
854
0
29 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
Recurrent Instance Segmentation
Recurrent Instance Segmentation
Bernardino Romera-Paredes
Philip Torr
SSeg
66
329
0
25 Nov 2015
An Empirical Evaluation of Deep Learning on Highway Driving
An Empirical Evaluation of Deep Learning on Highway Driving
Brody Huval
Tao Wang
S. Tandon
Jeff Kiske
W. Song
...
Toki Migimatsu
Royce Cheng-Yue
Fernando A. Mujica
Adam Coates
A. Ng
82
603
0
07 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
437
43,234
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Deep Deconvolutional Networks for Scene Parsing
Deep Deconvolutional Networks for Scene Parsing
R. Mohan
SSeg
50
102
0
15 Nov 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
234
16,336
0
30 Apr 2014
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