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The Cityscapes Dataset for Semantic Urban Scene Understanding

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

31 / 2,181 papers shown
Title
Learning to Generate Images of Outdoor Scenes from Attributes and
  Semantic Layouts
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
Levent Karacan
Zeynep Akata
Aykut Erdem
Erkut Erdem
GAN
36
186
0
01 Dec 2016
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
He Wen
Shuchang Zhou
Zhe Liang
Yuxiang Zhang
Dieqiao Feng
Xinyu Zhou
Cong Yao
MQ
SSeg
37
10
0
01 Dec 2016
Video Scene Parsing with Predictive Feature Learning
Video Scene Parsing with Predictive Feature Learning
Xiaojie Jin
Xuzhao Li
Huaxin Xiao
Xiaohui Shen
Zhe-nan Lin
...
Jian Dong
Luoqi Liu
Zequn Jie
Jiashi Feng
Shuicheng Yan
40
111
0
01 Dec 2016
Full-Resolution Residual Networks for Semantic Segmentation in Street
  Scenes
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Tobias Pohlen
Alexander Hermans
Markus Mathias
Bastian Leibe
SSeg
33
562
0
24 Nov 2016
Deep Watershed Transform for Instance Segmentation
Deep Watershed Transform for Instance Segmentation
Min Bai
R. Urtasun
ISeg
SSeg
24
520
0
24 Nov 2016
InstanceCut: from Edges to Instances with MultiCut
InstanceCut: from Edges to Instances with MultiCut
Alexander Kirillov
Evgeny Levinkov
Bjoern Andres
Bogdan Savchynskyy
Carsten Rother
SSeg
31
250
0
24 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,475
0
21 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
95
2,831
0
20 Nov 2016
Convolutional Gated Recurrent Networks for Video Segmentation
Convolutional Gated Recurrent Networks for Video Segmentation
Mennatullah Siam
Sepehr Valipour
Martin Jägersand
Nilanjan Ray
VOS
25
98
0
16 Nov 2016
Joint Graph Decomposition and Node Labeling: Problem, Algorithms,
  Applications
Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications
Evgeny Levinkov
J. Uhrig
Siyu Tang
Mohamed Omran
Eldar Insafutdinov
Alexander Kirillov
Carsten Rother
Thomas Brox
Bernt Schiele
Bjoern Andres
27
106
0
14 Nov 2016
Fused DNN: A deep neural network fusion approach to fast and robust
  pedestrian detection
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection
Xianzhi Du
Mostafa El-Khamy
Jungwon Lee
L. Davis
22
274
0
11 Oct 2016
Places: An Image Database for Deep Scene Understanding
Places: An Image Database for Deep Scene Understanding
Bolei Zhou
A. Khosla
Àgata Lapedriza
Antonio Torralba
A. Oliva
3DV
VLM
SSeg
21
458
0
06 Oct 2016
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated
  Annotations for Real World Tasks?
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
Matthew Johnson-Roberson
Charlie Barto
Rounak Mehta
S. N. Sridhar
Karl Rosaen
Ram Vasudevan
28
614
0
06 Oct 2016
Can Ground Truth Label Propagation from Video help Semantic
  Segmentation?
Can Ground Truth Label Propagation from Video help Semantic Segmentation?
Siva Karthik Mustikovela
M. Yang
Carsten Rother
32
33
0
03 Oct 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
72
2,870
0
13 Sep 2016
DAiSEE: Towards User Engagement Recognition in the Wild
DAiSEE: Towards User Engagement Recognition in the Wild
Abhay Gupta
Arjun DĆunha
Kamal N. Awasthi
V. Balasubramanian
18
141
0
07 Sep 2016
Clockwork Convnets for Video Semantic Segmentation
Clockwork Convnets for Video Semantic Segmentation
Evan Shelhamer
Kate Rakelly
Judy Hoffman
Trevor Darrell
37
199
0
11 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
30
109
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
24
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
22
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
43
49
0
08 Jul 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
21
362
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
235
2,059
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
92
18,051
0
02 Jun 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
ISeg
SSeg
9
161
0
23 May 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
27
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
25
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
3DV
MDE
57
1,524
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
104
125
0
10 Mar 2016
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
20
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
451
15,652
0
02 Nov 2015
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