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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
v1v2v3 (latest)

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2 November 2015
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
    SSeg
ArXiv (abs)PDFHTML

Papers citing "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation"

50 / 2,601 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
34
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
172
167
0
08 Jul 2017
Gaussian Processes Semantic Map Representation
Gaussian Processes Semantic Map Representation
M. G. Jadidi
Lu Gan
Steven A. Parkison
Jie Li
Ryan Eustice
90
28
0
05 Jul 2017
Detection and Localization of Image Forgeries using Resampling Features
  and Deep Learning
Detection and Localization of Image Forgeries using Resampling Features and Deep Learning
Jason Bunk
Jawadul H. Bappy
Tajuddin Manhar Mohammed
L. Nataraj
A. Flenner
B. S. Manjunath
S. Chandrasekaran
Amit K. Roy-Chowdhury
Lawrence A. Peterson
78
166
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
81
10
0
30 Jun 2017
Material Recognition CNNs and Hierarchical Planning for Biped Robot
  Locomotion on Slippery Terrain
Material Recognition CNNs and Hierarchical Planning for Biped Robot Locomotion on Slippery Terrain
Martim Brandao
Yukitoshi Minami Shiguematsu
K. Hashimoto
A. Takanishi
3DV
50
41
0
27 Jun 2017
Deep Semantic Classification for 3D LiDAR Data
Deep Semantic Classification for 3D LiDAR Data
Ayush Dewan
Gabriel L. Oliveira
Wolfram Burgard
3DPC3DV
60
57
0
26 Jun 2017
The NAO Backpack: An Open-hardware Add-on for Fast Software Development
  with the NAO Robot
The NAO Backpack: An Open-hardware Add-on for Fast Software Development with the NAO Robot
Matías Mattamala
Gonzalo Olave
Clayder González
N. Hasbún
Javier Ruiz-del-Solar
58
12
0
20 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
325
8,531
0
17 Jun 2017
Self-ensembling for visual domain adaptation
Self-ensembling for visual domain adaptation
Geoffrey French
Michal Mackiewicz
M. Fisher
103
44
0
16 Jun 2017
A convolutional autoencoder approach for mining features in cellular
  electron cryo-tomograms and weakly supervised coarse segmentation
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation
Xiangrui Zeng
M. R. Leung
T. Zeev-Ben-Mordehai
Min Xu
52
46
0
15 Jun 2017
LinkNet: Exploiting Encoder Representations for Efficient Semantic
  Segmentation
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia
Eugenio Culurciello
SSeg
97
1,394
0
14 Jun 2017
Dense Transformer Networks
Dense Transformer Networks
Jun Yu Li
Yongjun Chen
Lei Cai
Ian Davidson
Shuiwang Ji
ViTMedIm
54
17
0
24 May 2017
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep
  Learning Approach with Fully Automatic Labeling
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling
Stefan Hoermann
Martin Bach
Klaus C. J. Dietmayer
80
166
0
24 May 2017
Incorporating Depth into both CNN and CRF for Indoor Semantic
  Segmentation
Incorporating Depth into both CNN and CRF for Indoor Semantic Segmentation
Jindong Jiang
Zhijun Zhang
Yongqian Huang
Lunan Zheng
106
28
0
21 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
287
3,145
0
19 May 2017
Matching neural paths: transfer from recognition to correspondence
  search
Matching neural paths: transfer from recognition to correspondence search
Nikolay Savinov
Lubor Ladicky
Marc Pollefeys
71
10
0
19 May 2017
Joint Learning from Earth Observation and OpenStreetMap Data to Get
  Faster Better Semantic Maps
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
131
105
0
17 May 2017
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep
  Image-to-Image Network with Message Passing and Sparsity Regularization
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
Dong Yang
T. Xiong
Daguang Xu
Qiangui Huang
David Liu
...
Mingqing Chen
T. Tran
S. Chin
Dimitris N. Metaxas
Dorin Comaniciu
58
106
0
17 May 2017
A Design Methodology for Efficient Implementation of Deconvolutional
  Neural Networks on an FPGA
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA
Xinyu Zhang
Srinjoy Das
Ojash Neopane
Ken Kreutz-Delgado
BDL
32
39
0
07 May 2017
Error Corrective Boosting for Learning Fully Convolutional Networks with
  Limited Data
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data
Abhijit Guha Roy
Sailesh Conjeti
Debdoot Sheet
A. Katouzian
Nassir Navab
Christian Wachinger
95
97
0
02 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
104
1,416
0
27 Apr 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
198
341
0
27 Apr 2017
Semantic Autoencoder for Zero-Shot Learning
Semantic Autoencoder for Zero-Shot Learning
Elyor Kodirov
Tao Xiang
S. Gong
VLM
156
828
0
26 Apr 2017
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural
  Network Method
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method
Xiao Han
MedIm
110
159
0
24 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
3DVSSeg
136
1,278
0
22 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
160
801
0
18 Apr 2017
Interpretable 3D Human Action Analysis with Temporal Convolutional
  Networks
Interpretable 3D Human Action Analysis with Temporal Convolutional Networks
Tae Soo Kim
A. Reiter
3DH
51
603
0
14 Apr 2017
Virtual to Real Reinforcement Learning for Autonomous Driving
Virtual to Real Reinforcement Learning for Autonomous Driving
Xinlei Pan
Yurong You
Ziyan Wang
Cewu Lu
OffRL
127
338
0
13 Apr 2017
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark
Timo Hackel
Nikolay Savinov
Lubor Ladicky
Jan Dirk Wegner
Konrad Schindler
Marc Pollefeys
3DVPINN3DPC
96
712
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
106
117
0
10 Apr 2017
Deep Reinforcement Learning framework for Autonomous Driving
Deep Reinforcement Learning framework for Autonomous Driving
Ahmad El-Sallab
Mohammed Abdou
E. Perot
S. Yogamani
112
973
0
08 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
166
265
0
05 Apr 2017
Deep Depth From Focus
Deep Depth From Focus
C. Hazirbas
Sebastian Georg Soyer
Maximilian Christian Staab
Laura Leal-Taixé
Zorah Lähner
3DV
96
86
0
04 Apr 2017
OctNetFusion: Learning Depth Fusion from Data
OctNetFusion: Learning Depth Fusion from Data
Gernot Riegler
Ali O. Ulusoy
Horst Bischof
Andreas Geiger
3DPC3DV
123
207
0
04 Apr 2017
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance
  for Action Classification and Detection
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
Mohammadreza Zolfaghari
Gabriel L. Oliveira
Nima Sedaghat
Thomas Brox
93
217
0
03 Apr 2017
Semi and Weakly Supervised Semantic Segmentation Using Generative
  Adversarial Network
Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network
Nasim Souly
C. Spampinato
M. Shah
GAN
72
84
0
28 Mar 2017
Open Vocabulary Scene Parsing
Open Vocabulary Scene Parsing
Hang Zhao
Xavier Puig
Bolei Zhou
Sanja Fidler
Antonio Torralba
VLM3DV
117
120
0
26 Mar 2017
Predicting Deeper into the Future of Semantic Segmentation
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc
Natalia Neverova
Camille Couprie
Jakob Verbeek
Yann LeCun
122
243
0
22 Mar 2017
RoomNet: End-to-End Room Layout Estimation
RoomNet: End-to-End Room Layout Estimation
Chen-Yu Lee
Vijay Badrinarayanan
Tomasz Malisiewicz
Andrew Rabinovich
3DV
89
162
0
18 Mar 2017
Look into Person: Self-supervised Structure-sensitive Learning and A New
  Benchmark for Human Parsing
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
Ke Gong
Xiaodan Liang
Dongyu Zhang
Xiaohui Shen
Liang Lin
SSL
91
480
0
16 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
470
4,735
0
15 Mar 2017
End-to-End Learning of Geometry and Context for Deep Stereo Regression
End-to-End Learning of Geometry and Context for Deep Stereo Regression
Alex Kendall
H. Martirosyan
Saumitro Dasgupta
Peter Henry
Ryan Kennedy
Abraham Bachrach
Adam Bry
3DV3DPCMDE
120
1,341
0
13 Mar 2017
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification
  and Domain Adaptation
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation
Chunpeng Wu
W. Wen
Tariq Afzal
Yongmei Zhang
Yiran Chen
Hai Helen Li
89
46
0
12 Mar 2017
Depth from Monocular Images using a Semi-Parallel Deep Neural Network
  (SPDNN) Hybrid Architecture
Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture
S. Bazrafkan
Hossein Javidnia
Joseph Lemley
Peter Corcoran
MDE
131
16
0
10 Mar 2017
LesionSeg: Semantic segmentation of skin lesions using Deep
  Convolutional Neural Network
LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network
D. Ramachandram
Terrance Devries
MedImSSeg
35
10
0
09 Mar 2017
End-to-end semantic face segmentation with conditional random fields as
  convolutional, recurrent and adversarial networks
End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks
Umut Güçlü
Yağmur Güçlütürk
Meysam Madadi
Sergio Escalera
Xavier Baro
Jordi Gonzalez
R. Lier
Marcel van Gerven
CVBMGANSSeg
70
19
0
09 Mar 2017
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
Yu Xiang
Dieter Fox
3DPC
87
107
0
09 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
107
561
0
04 Mar 2017
Label Refinement Network for Coarse-to-Fine Semantic Segmentation
Label Refinement Network for Coarse-to-Fine Semantic Segmentation
Md. Amirul Islam
Shujon Naha
Mrigank Rochan
Neil D. B. Bruce
Yang Wang
SSeg
82
55
0
01 Mar 2017
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