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The Cityscapes Dataset for Semantic Urban Scene Understanding
v1v2 (latest)

The Cityscapes Dataset for Semantic Urban Scene Understanding

6 April 2016
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
ArXiv (abs)PDFHTML

Papers citing "The Cityscapes Dataset for Semantic Urban Scene Understanding"

25 / 5,175 papers shown
Title
Clockwork Convnets for Video Semantic Segmentation
Clockwork Convnets for Video Semantic Segmentation
Evan Shelhamer
Kate Rakelly
Judy Hoffman
Trevor Darrell
76
201
0
11 Aug 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
126
2,018
0
07 Aug 2016
Play and Learn: Using Video Games to Train Computer Vision Models
Play and Learn: Using Video Games to Train Computer Vision Models
Alireza Shafaei
James J. Little
Mark Schmidt
90
108
0
05 Aug 2016
Semantically Guided Depth Upsampling
Semantically Guided Depth Upsampling
N. Schneider
Lukas Schneider
Peter Pinggera
Uwe Franke
Marc Pollefeys
Christoph Stiller
MDE
58
79
0
02 Aug 2016
Joint Optical Flow and Temporally Consistent Semantic Segmentation
Joint Optical Flow and Temporally Consistent Semantic Segmentation
Junhwa Hur
Stefan Roth
91
71
0
26 Jul 2016
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Heng Fan
Xue Mei
Danil Prokhorov
Haibin Ling
104
49
0
08 Jul 2016
Can we unify monocular detectors for autonomous driving by using the
  pixel-wise semantic segmentation of CNNs?
Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?
Eduardo Romera
L. Bergasa
R. Arroyo
SSeg
31
24
0
04 Jul 2016
Deep Learning Markov Random Field for Semantic Segmentation
Deep Learning Markov Random Field for Semantic Segmentation
Ziwei Liu
Xiaoxiao Li
Ping Luo
Chen Change Loy
Xiaoou Tang
3DV
112
161
0
23 Jun 2016
Past, Present, and Future of Simultaneous Localization And Mapping:
  Towards the Robust-Perception Age
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age
Cesar Cadena
Luca Carlone
Henry Carrillo
Yasir Latif
Davide Scaramuzza
José Neira
Ian Reid
J. Leonard
237
2,936
0
19 Jun 2016
Fully Convolutional Networks for Dense Semantic Labelling of
  High-Resolution Aerial Imagery
Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery
Jamie Sherrah
SSeg
60
364
0
08 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
358
2,086
0
07 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
492
18,385
0
02 Jun 2016
Model-driven Simulations for Deep Convolutional Neural Networks
Model-driven Simulations for Deep Convolutional Neural Networks
V. S. Veeravasarapu
Constantin Rothkopf
Visvanathan Ramesh
VGen
53
18
0
31 May 2016
Kernel Mean Embedding of Distributions: A Review and Beyond
Kernel Mean Embedding of Distributions: A Review and Beyond
Krikamol Muandet
Stef Garasto
C. Cantwell
Bernhard Schölkopf
52
20
0
31 May 2016
Bridging Category-level and Instance-level Semantic Image Segmentation
Bridging Category-level and Instance-level Semantic Image Segmentation
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
ISegSSeg
162
162
0
23 May 2016
Estimating Depth from Monocular Images as Classification Using Deep
  Fully Convolutional Residual Networks
Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks
Yuanzhouhan Cao
Zifeng Wu
Chunhua Shen
MDE
143
407
0
08 May 2016
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps
Biyun Sheng
Chunhua Shen
Guosheng Lin
Jun Li
Wankou Yang
Changyin Sun
60
101
0
29 Apr 2016
Artistic style transfer for videos
Artistic style transfer for videos
Manuel Ruder
Alexey Dosovitskiy
Thomas Brox
137
193
0
28 Apr 2016
Pixel-level Encoding and Depth Layering for Instance-level Semantic
  Labeling
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
J. Uhrig
Marius Cordts
Uwe Franke
Thomas Brox
SSeg
79
174
0
18 Apr 2016
High-performance Semantic Segmentation Using Very Deep Fully
  Convolutional Networks
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
91
130
0
15 Apr 2016
Unsupervised CNN for Single View Depth Estimation: Geometry to the
  Rescue
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Ravi Garg
B. V. Kumar
G. Carneiro
Ian Reid
3DVMDE
133
1,532
0
16 Mar 2016
Exploring Context with Deep Structured models for Semantic Segmentation
Exploring Context with Deep Structured models for Semantic Segmentation
Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
SSeg
253
125
0
10 Mar 2016
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
383
8,481
0
23 Nov 2015
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
Jun Xie
Martin Kiefel
Ming-Ting Sun
Andreas Geiger
ISeg
119
169
0
10 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,911
0
02 Nov 2015
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