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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"

50 / 5,175 papers shown
Title
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image
  Segmentation
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu
Liang-Chieh Chen
Florian Schroff
Hartwig Adam
Wei Hua
Alan Yuille
Li Fei-Fei
SSeg
137
988
0
10 Jan 2019
Adaptive Feature Processing for Robust Human Activity Recognition on a
  Novel Multi-Modal Dataset
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset
Mirco Moencks
V. D. Silva
Jamie Roche
A. Kondoz
39
15
0
09 Jan 2019
Panoptic Feature Pyramid Networks
Panoptic Feature Pyramid Networks
Alexander Kirillov
Ross B. Girshick
Kaiming He
Piotr Dollár
ISegSSeg
230
1,295
0
08 Jan 2019
Curriculum Model Adaptation with Synthetic and Real Data for Semantic
  Foggy Scene Understanding
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding
Dengxin Dai
Daniel Gehrig
Simon Hecker
Luc Van Gool
111
141
0
05 Jan 2019
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic
  Video
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video
Alisha Sharma
Jonathan Ventura
MDE
73
4
0
04 Jan 2019
Imminent Collision Mitigation with Reinforcement Learning and Vision
Imminent Collision Mitigation with Reinforcement Learning and Vision
Horia Porav
Paul Newman
59
18
0
03 Jan 2019
I Can See Clearly Now : Image Restoration via De-Raining
I Can See Clearly Now : Image Restoration via De-Raining
Horia Porav
Tom Bruls
Paul Newman
67
92
0
03 Jan 2019
Monte-Carlo Sampling applied to Multiple Instance Learning for
  Histological Image Classification
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Marc Combalia
João Paulo Papa
83
83
0
30 Dec 2018
Coarse-to-fine Semantic Segmentation from Image-level Labels
Coarse-to-fine Semantic Segmentation from Image-level Labels
Longlong Jing
Yucheng Chen
Yingli Tian
SSegVLM
71
117
0
28 Dec 2018
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of
  Urban Scenes
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
Yang Zhang
P. David
H. Foroosh
Boqing Gong
SSeg
89
132
0
24 Dec 2018
SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful
  Geometric Constraints
SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints
V. Prasad
Brojeshwar Bhowmick
MDE
91
26
0
20 Dec 2018
Unsupervised Video Object Segmentation with Distractor-Aware Online
  Adaptation
Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation
Yeon-Chang Wang
Jongmoo Choi
Yueru Chen
Siyang Li
Qin Huang
Kaitai Zhang
Ming-Sui Lee
C.-C. Jay Kuo
VOS
46
7
0
19 Dec 2018
A Commute in Data: The comma2k19 Dataset
A Commute in Data: The comma2k19 Dataset
H. Schafer
Eder Santana
A. Haden
R. Biasini
3DV
68
74
0
14 Dec 2018
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
Yue Meng
Y. Lu
A. Raj
Samuel Sunarjo
Rui Guo
T. Javidi
G. Bansal
Dinesh Bharadia
3DVMDE3DPC
91
53
0
13 Dec 2018
DLOW: Domain Flow for Adaptation and Generalization
DLOW: Domain Flow for Adaptation and Generalization
R. Gong
Wen Li
Yuhua Chen
Luc Van Gool
OODAI4CE
127
353
0
13 Dec 2018
IPOD: Intensive Point-based Object Detector for Point Cloud
IPOD: Intensive Point-based Object Detector for Point Cloud
Zetong Yang
Yanan Sun
Shu Liu
Xiaoyong Shen
Jiaya Jia
3DPC
86
161
0
13 Dec 2018
Learning Semantic Segmentation from Synthetic Data: A Geometrically
  Guided Input-Output Adaptation Approach
Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
Yuhua Chen
Wen Li
Xiaoran Chen
Luc Van Gool
117
252
0
12 Dec 2018
C3: Concentrated-Comprehensive Convolution and its application to
  semantic segmentation
C3: Concentrated-Comprehensive Convolution and its application to semantic segmentation
Hyojin Park
Y. Yoo
Geonseok Seo
Dongyoon Han
Sangdoo Yun
Nojun Kwak
SSeg
155
9
0
12 Dec 2018
Weakly Supervised Instance Segmentation Using Hybrid Network
Weakly Supervised Instance Segmentation Using Hybrid Network
Shisha Liao
Yongqing Sun
Chenqiang Gao
Pranav Shenoy KP
Song Mu
J. Shimamura
Atsushi Sagata
SSeg
100
11
0
12 Dec 2018
Strong-Weak Distribution Alignment for Adaptive Object Detection
Strong-Weak Distribution Alignment for Adaptive Object Detection
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
ObjD
94
619
0
12 Dec 2018
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Kohei Watanabe
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
MDE
64
11
0
11 Dec 2018
Attention-guided Unified Network for Panoptic Segmentation
Attention-guided Unified Network for Panoptic Segmentation
Yanwei Li
Xinze Chen
Zheng Zhu
Lingxi Xie
Guan Huang
Dalong Du
Xingang Wang
76
281
0
10 Dec 2018
Defending Against Universal Perturbations With Shared Adversarial
  Training
Defending Against Universal Perturbations With Shared Adversarial Training
Chaithanya Kumar Mummadi
Thomas Brox
J. H. Metzen
AAML
84
60
0
10 Dec 2018
Unsupervised Learning of Monocular Depth Estimation with Bundle
  Adjustment, Super-Resolution and Clip Loss
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
Lipu Zhou
Jiamin Ye
Montiel Abello
Shengze Wang
Michael Kaess
MDE
115
27
0
08 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation
A Survey of Unsupervised Deep Domain Adaptation
Garrett Wilson
D. Cook
OOD
223
824
0
06 Dec 2018
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
Fabian Manhardt
Wadim Kehl
Adrien Gaidon
3DPC3DH
136
276
0
06 Dec 2018
Online Model Distillation for Efficient Video Inference
Online Model Distillation for Efficient Video Inference
Ravi Teja Mullapudi
Steven Chen
Keyi Zhang
Deva Ramanan
Kayvon Fatahalian
VGen
126
115
0
06 Dec 2018
OMNIA Faster R-CNN: Detection in the wild through dataset merging and
  soft distillation
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation
Alexandre Ramé
Emilien Garreau
H. Ben-younes
Charles Ollion
ObjD
105
17
0
06 Dec 2018
Fast and Accurate Person Re-Identification with RMNet
Fast and Accurate Person Re-Identification with RMNet
Evgeny Izutov
3DH
87
6
0
06 Dec 2018
Context-Aware Synthesis and Placement of Object Instances
Context-Aware Synthesis and Placement of Object Instances
Donghoon Lee
Sifei Liu
Liang Feng
Ming-Yuan Liu
Ming-Hsuan Yang
Jan Kautz
106
117
0
06 Dec 2018
Learn to See by Events: Color Frame Synthesis from Event and RGB Cameras
Learn to See by Events: Color Frame Synthesis from Event and RGB Cameras
S. Pini
Guido Borghi
R. Vezzani
GAN
103
24
0
05 Dec 2018
Interactive Full Image Segmentation by Considering All Regions Jointly
Interactive Full Image Segmentation by Considering All Regions Jointly
E. Agustsson
J. Uijlings
V. Ferrari
VLM
86
75
0
05 Dec 2018
ECC: Platform-Independent Energy-Constrained Deep Neural Network
  Compression via a Bilinear Regression Model
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model
Haichuan Yang
Yuhao Zhu
Ji Liu
111
40
0
05 Dec 2018
Improving Semantic Segmentation via Video Propagation and Label
  Relaxation
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Yi Zhu
Karan Sapra
F. Reda
Kevin J. Shih
Shawn D. Newsam
Andrew Tao
Bryan Catanzaro
145
386
0
04 Dec 2018
Learning to Fuse Things and Stuff
Learning to Fuse Things and Stuff
Jie Li
Allan Raventos
Arjun Bhargava
Takaaki Tagawa
Adrien Gaidon
124
104
0
04 Dec 2018
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection
Eric Tzeng
Kaylee Burns
Kate Saenko
Trevor Darrell
ObjD
83
16
0
03 Dec 2018
Disentangling Propagation and Generation for Video Prediction
Disentangling Propagation and Generation for Video Prediction
Hang Gao
Huazhe Xu
Qi-Zhi Cai
Ruth Wang
Feng Yu
Trevor Darrell
111
84
0
02 Dec 2018
On the Computational Inefficiency of Large Batch Sizes for Stochastic
  Gradient Descent
On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent
Noah Golmant
N. Vemuri
Z. Yao
Vladimir Feinberg
A. Gholami
Kai Rothauge
Michael W. Mahoney
Joseph E. Gonzalez
99
73
0
30 Nov 2018
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in
  Semantic Segmentation
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu
Himalaya Jain
Max Bucher
Matthieu Cord
P. Pérez
210
1,308
0
30 Nov 2018
Graph-Based Global Reasoning Networks
Graph-Based Global Reasoning Networks
Yunpeng Chen
Marcus Rohrbach
Zhicheng Yan
Shuicheng Yan
Jiashi Feng
Yannis Kalantidis
GNNNAI
315
460
0
30 Nov 2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Jishnu Mukhoti
Y. Gal
UQCVBDL
112
225
0
30 Nov 2018
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
Ke Li
Tianhao Zhang
Jitendra Malik
DiffM
251
88
0
29 Nov 2018
EV-SegNet: Semantic Segmentation for Event-based Cameras
EV-SegNet: Semantic Segmentation for Event-based Cameras
Inigo Alonso
Ana C. Murillo
132
142
0
29 Nov 2018
Efficient Semantic Segmentation for Visual Bird's-eye View
  Interpretation
Efficient Semantic Segmentation for Visual Bird's-eye View Interpretation
Timo Sämann
Karl Amende
Stefan Milz
Christian Witt
Martin Simon
Johannes Petzold
VLM
67
12
0
29 Nov 2018
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
Pranav Ganti
Steven L. Waslander
70
24
0
29 Nov 2018
CCNet: Criss-Cross Attention for Semantic Segmentation
CCNet: Criss-Cross Attention for Semantic Segmentation
Zilong Huang
Xinggang Wang
Yunchao Wei
Lichao Huang
Humphrey Shi
Wenyu Liu
Chang Huang
VOS
231
2,569
0
28 Nov 2018
ESPNetv2: A Light-weight, Power Efficient, and General Purpose
  Convolutional Neural Network
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
Sachin Mehta
Mohammad Rastegari
Linda G. Shapiro
Hannaneh Hajishirzi
VLM
89
401
0
28 Nov 2018
Future Segmentation Using 3D Structure
Future Segmentation Using 3D Structure
Suhani Vora
R. Mahjourian
S. Pirk
A. Angelova
3DPC
59
8
0
28 Nov 2018
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets
  for Driveability Assessment in Autonomous Driving
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving
Junyao Guo
Unmesh Kurup
Mohak Shah
82
52
0
27 Nov 2018
Affinity Derivation and Graph Merge for Instance Segmentation
Affinity Derivation and Graph Merge for Instance Segmentation
Yiding Liu
Siyu Yang
Bin Li
Wen-gang Zhou
Jizheng Xu
Houqiang Li
Yan Lu
ISegSSeg
82
107
0
27 Nov 2018
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