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Efficient piecewise training of deep structured models for semantic
  segmentation
v1v2v3v4 (latest)

Efficient piecewise training of deep structured models for semantic segmentation

Computer Vision and Pattern Recognition (CVPR), 2015
4 April 2015
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
    VLMSSeg
ArXiv (abs)PDFHTML

Papers citing "Efficient piecewise training of deep structured models for semantic segmentation"

50 / 355 papers shown
Title
Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks
  (MSNets) with Backward Skip Connections for Semantic Segmentation
Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation
Abrar H. Abdulnabi
Stefan Winkler
G. Wang
100
6
0
18 Jul 2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and
  Challenges
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Mennatullah Siam
Sara Elkerdawy
Martin Jägersand
S. Yogamani
309
175
0
08 Jul 2017
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image
  Segmentation
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Guotai Wang
Maria A. Zuluaga
Wenqi Li
R. Pratt
P. Patel
...
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
168
443
0
03 Jul 2017
Superpixel-based Semantic Segmentation Trained by Statistical Process
  Control
Superpixel-based Semantic Segmentation Trained by Statistical Process Control
Hyojin Park
Jisoo Jeong
Y. Yoo
Nojun Kwak
SSeg
124
10
0
30 Jun 2017
Learning to Map Vehicles into Bird's Eye View
Learning to Map Vehicles into Bird's Eye View
Andrea Palazzi
Guido Borghi
Davide Abati
Simone Calderara
Rita Cucchiara
139
48
0
26 Jun 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
595
9,332
0
17 Jun 2017
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with
  Fully Convolutional Networks
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional NetworksBritish Machine Vision Conference (BMVC), 2017
V. Pham
S. Ito
Tatsuo Kozakaya
SSeg
121
15
0
07 Jun 2017
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image
  Segmentation
SegAN: Adversarial Network with Multi-scale L1L_1L1​ Loss for Medical Image Segmentation
Yuan Xue
Tao Xu
Han Zhang
L. R. Long
Xiaolei Huang
MedImGAN
145
575
0
06 Jun 2017
Toward Robustness against Label Noise in Training Deep Discriminative
  Neural Networks
Toward Robustness against Label Noise in Training Deep Discriminative Neural NetworksNeural Information Processing Systems (NeurIPS), 2017
Arash Vahdat
NoLa
266
310
0
31 May 2017
Weakly Supervised Semantic Segmentation Based on Web Image
  Co-segmentation
Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation
T. Shen
Guosheng Lin
Lingqiao Liu
Chunhua Shen
Ian Reid
SSeg
142
16
0
25 May 2017
Recurrent Scene Parsing with Perspective Understanding in the Loop
Recurrent Scene Parsing with Perspective Understanding in the Loop
Shu Kong
Charless C. Fowlkes
SSegMDE
189
114
0
20 May 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
485
3,544
0
19 May 2017
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
Hengshuang Zhao
Xiaojuan Qi
Xiaoyong Shen
Jianping Shi
Jiaya Jia
SSeg
199
1,529
0
27 Apr 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of
  the Art
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
J. Janai
Fatma Guney
Aseem Behl
Andreas Geiger
314
860
0
18 Apr 2017
Joint Semantic and Motion Segmentation for dynamic scenes using Deep
  Convolutional Networks
Joint Semantic and Motion Segmentation for dynamic scenes using Deep Convolutional Networks
Nazrul Haque
Dinesh Reddy Narapureddy
K. M. Krishna
127
12
0
18 Apr 2017
Deep Structured Learning for Facial Action Unit Intensity Estimation
Deep Structured Learning for Facial Action Unit Intensity Estimation
R. Walecki
Ognjen Rudovic
Rudovic
Vladimir Pavlovic
Björn Schuller
Maja Pantic
CVBM
115
128
0
14 Apr 2017
Instance-Level Salient Object Segmentation
Instance-Level Salient Object Segmentation
Guanbin Li
Yuan Xie
Liang Lin
Yizhou Yu
182
292
0
12 Apr 2017
Loss Max-Pooling for Semantic Image Segmentation
Loss Max-Pooling for Semantic Image Segmentation
Samuel Rota Buló
Gerhard Neuhold
Peter Kontschieder
SSeg
201
121
0
10 Apr 2017
Pixelwise Instance Segmentation with a Dynamically Instantiated Network
Pixelwise Instance Segmentation with a Dynamically Instantiated Network
Anurag Arnab
Juil Sock
ISegSSeg
126
239
0
07 Apr 2017
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via
  Deep Layer Cascade
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
Xiaoxiao Li
Ziwei Liu
Ping Luo
Chen Change Loy
Xiaoou Tang
242
272
0
05 Apr 2017
The Stixel world: A medium-level representation of traffic scenes
The Stixel world: A medium-level representation of traffic scenes
Marius Cordts
Timo Rehfeld
Lukas Schneider
D. Pfeiffer
Markus Enzweiler
Stefan Roth
Marc Pollefeys
Uwe Franke
3DV
147
43
0
02 Apr 2017
SeGAN: Segmenting and Generating the Invisible
SeGAN: Segmenting and Generating the Invisible
Kiana Ehsani
Roozbeh Mottaghi
Ali Farhadi
GAN
272
164
0
29 Mar 2017
LabelBank: Revisiting Global Perspectives for Semantic Segmentation
LabelBank: Revisiting Global Perspectives for Semantic Segmentation
Hexiang Hu
Zhiwei Deng
Guang-Tong Zhou
Fei Sha
Greg Mori
VLM
122
16
0
29 Mar 2017
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in
  Chest X-rays
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays
Wei-Ming Dai
Joseph Doyle
Xiaodan Liang
Zeya Wang
Nanqing Dong
Huatian Zhang
Eric Xing
MedIm
159
178
0
26 Mar 2017
Multilevel Context Representation for Improving Object Recognition
Multilevel Context Representation for Improving Object Recognition
Andreas Kölsch
Muhammad Zeshan Afzal
Marcus Liwicki
127
3
0
19 Mar 2017
Large Kernel Matters -- Improve Semantic Segmentation by Global
  Convolutional Network
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network
Chao Peng
Xiangyu Zhang
Gang Yu
G. Luo
Jian Sun
VLMSSeg
352
1,568
0
08 Mar 2017
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action
  Localization in Untrimmed Videos
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
Zheng Shou
Jonathan Chan
Alireza Zareian
K. Miyazawa
Shih-Fu Chang
273
577
0
04 Mar 2017
Understanding Convolution for Semantic Segmentation
Understanding Convolution for Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2017
Panqu Wang
Pengfei Chen
Ye Yuan
Ding Liu
Zehua Huang
Xiaodi Hou
G. Cottrell
SSeg
220
1,823
0
27 Feb 2017
Adversarial Networks for the Detection of Aggressive Prostate Cancer
Adversarial Networks for the Detection of Aggressive Prostate Cancer
Simon A. A. Kohl
D. Bonekamp
H. Schlemmer
Kaneschka Yaqubi
Markus Hohenfellner
B. Hadaschik
J. Radtke
Klaus Maier-Hein
MedImGAN
180
117
0
26 Feb 2017
Learning Multi-level Region Consistency with Dense Multi-label Networks
  for Semantic Segmentation
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic SegmentationInternational Joint Conference on Artificial Intelligence (IJCAI), 2017
T. Shen
Guosheng Lin
Chunhua Shen
Ian Reid
SSeg
106
10
0
25 Jan 2017
A Projected Gradient Descent Method for CRF Inference allowing
  End-To-End Training of Arbitrary Pairwise Potentials
A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials
Måns Larsson
Anurag Arnab
Fredrik Kahl
Shuai Zheng
Juil Sock
BDL
153
12
0
24 Jan 2017
Weakly Supervised Semantic Segmentation using Web-Crawled Videos
Weakly Supervised Semantic Segmentation using Web-Crawled VideosComputer Vision and Pattern Recognition (CVPR), 2017
Seunghoon Hong
Donghun Yeo
Suha Kwak
Honglak Lee
Bohyung Han
271
160
0
02 Jan 2017
Semantic Video Segmentation by Gated Recurrent Flow Propagation
Semantic Video Segmentation by Gated Recurrent Flow Propagation
David Nilsson
C. Sminchisescu
358
231
0
28 Dec 2016
Adversarial Deep Structural Networks for Mammographic Mass Segmentation
Adversarial Deep Structural Networks for Mammographic Mass SegmentationbioRxiv (bioRxiv), 2016
Wentao Zhu
Xiang Xiang
Trac D. Tran
Xiaohui Xie
MedIm
183
68
0
18 Dec 2016
3D Shape Segmentation with Projective Convolutional Networks
3D Shape Segmentation with Projective Convolutional Networks
E. Kalogerakis
Melinos Averkiou
Subhransu Maji
S. Chaudhuri
3DV3DPC
183
374
0
08 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
1.1K
13,293
0
04 Dec 2016
End-to-End Training of Hybrid CNN-CRF Models for Stereo
End-to-End Training of Hybrid CNN-CRF Models for Stereo
Patrick Knöbelreiter
Christian Reinbacher
Alexander Shekhovtsov
Thomas Pock
3DV
204
135
0
30 Nov 2016
Attend in groups: a weakly-supervised deep learning framework for
  learning from web data
Attend in groups: a weakly-supervised deep learning framework for learning from web data
Bohan Zhuang
Lingqiao Liu
Yao Li
Chunhua Shen
Ian Reid
NoLa
108
90
0
30 Nov 2016
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields
Siddhartha Chandra
Iasonas Kokkinos
BDL
82
1
0
28 Nov 2016
Improving Fully Convolution Network for Semantic Segmentation
Improving Fully Convolution Network for Semantic Segmentation
Bing Shuai
Ting Liu
G. Wang
SSeg
121
23
0
28 Nov 2016
Semantic Segmentation using Adversarial Networks
Semantic Segmentation using Adversarial Networks
Pauline Luc
Camille Couprie
Soumith Chintala
Jakob Verbeek
GANSSeg
178
740
0
25 Nov 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
291
579
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
163
261
0
24 Nov 2016
Recalling Holistic Information for Semantic Segmentation
Recalling Holistic Information for Semantic Segmentation
Hexiang Hu
Zhiwei Deng
Guang-Tong Zhou
Fei Sha
Greg Mori
139
5
0
24 Nov 2016
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li
Haozhi Qi
Jifeng Dai
Xiangyang Ji
Yichen Wei
ISegSSeg
223
1,041
0
23 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
AI4TSSSeg
435
3,024
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
280
104
0
16 Nov 2016
PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation
PetroSurf3D - A Dataset for high-resolution 3D Surface SegmentationInternational Conference on Content-Based Multimedia Indexing (CBMI), 2016
Georg Poier
Markus Seidl
Matthias Zeppelzauer
Christian Reinbacher
M. Schaich
G. Bellandi
A. Marretta
Horst Bischof
3DV3DPC
309
10
0
06 Oct 2016
Exploiting Depth from Single Monocular Images for Object Detection and
  Semantic Segmentation
Exploiting Depth from Single Monocular Images for Object Detection and Semantic SegmentationIEEE Transactions on Image Processing (IEEE TIP), 2016
Yuanzhouhan Cao
Chunhua Shen
Heng Tao Shen
MDE
104
69
0
06 Oct 2016
Semantic Segmentation of Earth Observation Data Using Multimodal and
  Multi-scale Deep Networks
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
SSeg
176
390
0
22 Sep 2016
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