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A Curriculum Domain Adaptation Approach to the Semantic Segmentation of
  Urban Scenes

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes

24 December 2018
Yang Zhang
P. David
H. Foroosh
Boqing Gong
    SSeg
ArXivPDFHTML

Papers citing "A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes"

50 / 63 papers shown
Title
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
Jiaqi Yang
Ye Huang
Jingxi Hu
Xiangjian He
Linlin Shen
Guoping Qiu
VLM
121
1
0
31 Dec 2024
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Minhee Cho
Hyesong Choi
Hayeon Jo
Dongbo Min
142
1
0
04 Sep 2024
A Domain Agnostic Normalization Layer for Unsupervised Adversarial
  Domain Adaptation
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation
Rob Romijnders
Panagiotis Meletis
Gijs Dubbelman
AI4CE
50
27
0
14 Sep 2018
Penalizing Top Performers: Conservative Loss for Semantic Segmentation
  Adaptation
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
Xinge Zhu
Hui Zhou
Ceyuan Yang
Jianping Shi
Dahua Lin
61
104
0
04 Sep 2018
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy
  Scene Understanding
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
Daniel Gehrig
Dengxin Dai
Simon Hecker
Luc Van Gool
75
238
0
03 Aug 2018
Two at Once: Enhancing Learning and Generalization Capacities via
  IBN-Net
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
Xingang Pan
Ping Luo
Jianping Shi
Xiaoou Tang
OOD
69
763
0
25 Jul 2018
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
F. Saleh
M. S. Aliakbarian
Mathieu Salzmann
L. Petersson
J. Álvarez
48
154
0
16 Jul 2018
Fully Convolutional Adaptation Networks for Semantic Segmentation
Fully Convolutional Adaptation Networks for Semantic Segmentation
Yiheng Zhang
Zhaofan Qiu
Ting Yao
Dong Liu
Tao Mei
SSeg
OOD
212
351
0
23 Apr 2018
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene
  Adaptation
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation
Zuxuan Wu
Xintong Han
Yen-Liang Lin
M. Uzunbas
Tom Goldstein
Ser Nam Lim
L. Davis
53
263
0
16 Apr 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
140
1,545
0
28 Feb 2018
AI2-THOR: An Interactive 3D Environment for Visual AI
AI2-THOR: An Interactive 3D Environment for Visual AI
Eric Kolve
Roozbeh Mottaghi
Winson Han
Eli VanderBilt
Luca Weihs
...
Daniel Gordon
Yuke Zhu
Aniruddha Kembhavi
Abhinav Gupta
Ali Farhadi
LM&Ro
79
1,101
0
14 Dec 2017
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
98
1,791
0
07 Dec 2017
Image to Image Translation for Domain Adaptation
Image to Image Translation for Domain Adaptation
Zak Murez
Soheil Kolouri
D. Kriegman
R. Ramamoorthi
Kyungnam Kim
OOD
60
529
0
01 Dec 2017
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban
  Scenes
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
Yuhua Chen
Wen Li
Luc Van Gool
71
294
0
30 Nov 2017
Learning from Synthetic Data: Addressing Domain Shift for Semantic
  Segmentation
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
S. Sankaranarayanan
Yogesh Balaji
Arpit Jain
Ser Nam Lim
Rama Chellappa
GAN
OOD
62
69
0
19 Nov 2017
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
135
5,173
0
10 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
144
3,002
0
08 Nov 2017
Adversarial Dropout Regularization
Adversarial Dropout Regularization
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
GAN
72
285
0
05 Nov 2017
VisDA: The Visual Domain Adaptation Challenge
VisDA: The Visual Domain Adaptation Challenge
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
OOD
86
802
0
18 Oct 2017
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Yang Zhang
P. David
Boqing Gong
SSeg
86
322
0
29 Jul 2017
Dilated Residual Networks
Dilated Residual Networks
Feng Yu
V. Koltun
Thomas Funkhouser
MedIm
121
1,619
0
28 May 2017
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous
  Vehicles
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
S. Shah
Debadeepta Dey
Chris Lovett
Ashish Kapoor
94
1,998
0
15 May 2017
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
Yi-Hsin Chen
Wei-Yu Chen
Yu-Ting Chen
Bo-Cheng Tsai
Y. Wang
Min Sun
SSeg
182
341
0
27 Apr 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DV
SSeg
112
1,278
0
22 Apr 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
125
5,553
0
30 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,195
0
20 Mar 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
68
507
0
17 Feb 2017
Synthetic to Real Adaptation with Generative Correlation Alignment
  Networks
Synthetic to Real Adaptation with Generative Correlation Alignment Networks
M. Mahmoodi
Kate Saenko
OOD
49
22
0
19 Jan 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
103
1,801
0
22 Dec 2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OOD
GAN
149
1,536
0
16 Dec 2016
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
92
789
0
08 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
665
12,015
0
04 Dec 2016
End-to-end Learning of Driving Models from Large-scale Video Datasets
End-to-end Learning of Driving Models from Large-scale Video Datasets
Huazhe Xu
Yang Gao
Feng Yu
Trevor Darrell
144
826
0
04 Dec 2016
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
636
1,516
0
30 Nov 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
122
2,011
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
80
108
0
05 Aug 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
251
18,240
0
02 Jun 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Adrien Gaidon
Qiao Wang
Yohann Cabon
E. Vig
77
1,073
0
20 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
741
37,862
0
20 May 2016
Theano: A Python framework for fast computation of mathematical
  expressions
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
198
2,341
0
09 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,623
0
06 Apr 2016
Training Constrained Deconvolutional Networks for Road Scene Semantic
  Segmentation
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
G. Ros
Simon Stent
P. Alcantarilla
Tomoki Watanabe
54
55
0
06 Apr 2016
Harnessing Deep Neural Networks with Logic Rules
Harnessing Deep Neural Networks with Logic Rules
Zhiting Hu
Xuezhe Ma
Zhengzhong Liu
Eduard H. Hovy
Eric Xing
AI4CE
NAI
56
614
0
21 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
377
14,253
0
23 Feb 2016
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
94
174
0
24 Dec 2015
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian Sun
SSeg
171
1,228
0
14 Dec 2015
Return of Frustratingly Easy Domain Adaptation
Return of Frustratingly Easy Domain Adaptation
Baochen Sun
Jiashi Feng
Kate Saenko
OOD
81
1,841
0
17 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
15,802
0
02 Nov 2015
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
80
1,370
0
08 Oct 2015
Constrained Convolutional Neural Networks for Weakly Supervised
  Segmentation
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
Deepak Pathak
Philipp Krahenbuhl
Trevor Darrell
SSeg
88
613
0
11 Jun 2015
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