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Learning Deconvolution Network for Semantic Segmentation

Learning Deconvolution Network for Semantic Segmentation

17 May 2015
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
    SSeg
ArXiv (abs)PDFHTML

Papers citing "Learning Deconvolution Network for Semantic Segmentation"

34 / 1,134 papers shown
Title
First Person Action-Object Detection with EgoNet
First Person Action-Object Detection with EgoNet
Gedas Bertasius
H. Park
Stella X. Yu
Jianbo Shi
EgoV
76
59
0
15 Mar 2016
Combining the Best of Convolutional Layers and Recurrent Layers: A
  Hybrid Network for Semantic Segmentation
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Zhicheng Yan
Huatian Zhang
Yangqing Jia
Thomas Breuel
Yizhou Yu
SSeg
73
41
0
15 Mar 2016
Object Contour Detection with a Fully Convolutional Encoder-Decoder
  Network
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
Jimei Yang
Brian L. Price
Scott D. Cohen
Honglak Lee
Ming-Hsuan Yang
ObjD
65
366
0
15 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
237
125
0
10 Mar 2016
Weakly Supervised Localization using Deep Feature Maps
Weakly Supervised Localization using Deep Feature Maps
Archith J. Bency
H. Kwon
Hyungtae Lee
S. Karthikeyan
B. S. Manjunath
WSOL
79
73
0
01 Mar 2016
Deconvolutional Feature Stacking for Weakly-Supervised Semantic
  Segmentation
Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation
Hyo-Eun Kim
Sangheum Hwang
SSeg
68
18
0
16 Feb 2016
Global Deconvolutional Networks for Semantic Segmentation
Global Deconvolutional Networks for Semantic Segmentation
Vladimir Nekrasov
Janghoon Ju
Jaesik Choi
SSeg
45
12
0
12 Feb 2016
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment
  using Deep Neural Networks
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks
Evan Racah
Seyoon Ko
Peter Sadowski
W. Bhimji
C. Tull
Sang-Yun Oh
Pierre Baldi
P. Prabhat
78
32
0
28 Jan 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
102
174
0
24 Dec 2015
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
245
5,253
0
22 Dec 2015
Creation of a Deep Convolutional Auto-Encoder in Caffe
Creation of a Deep Convolutional Auto-Encoder in Caffe
V. Turchenko
Artur Luczak
70
41
0
04 Dec 2015
Towards Automatic Image Editing: Learning to See another You
Towards Automatic Image Editing: Learning to See another You
Amir Ghodrati
Xu Jia
M. Pedersoli
Tinne Tuytelaars
GANCVBMOOD
57
37
0
26 Nov 2015
Higher Order Conditional Random Fields in Deep Neural Networks
Higher Order Conditional Random Fields in Deep Neural Networks
Anurag Arnab
Sadeep Jayasumana
Shuai Zheng
Philip Torr
SSeg
122
230
0
25 Nov 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
278
8,467
0
23 Nov 2015
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Kyunghyun Cho
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLMSSeg
94
251
0
22 Nov 2015
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
Ankur Handa
Viorica Patraucean
Vijay Badrinarayanan
Simon Stent
R. Cipolla
3DPC3DV
90
233
0
22 Nov 2015
Zoom Better to See Clearer: Human and Object Parsing with Hierarchical
  Auto-Zoom Net
Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net
Fangting Xia
Peng Wang
Liang-Chieh Chen
Alan Yuille
121
167
0
21 Nov 2015
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised
  Learning
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning
Natalia Neverova
Christian Wolf
Florian Nebout
Graham W. Taylor
MDE3DH
99
48
0
20 Nov 2015
Learning to decompose for object detection and instance segmentation
Learning to decompose for object detection and instance segmentation
Eunbyung Park
Alexander C. Berg
104
24
0
19 Nov 2015
Learning Dense Convolutional Embeddings for Semantic Segmentation
Learning Dense Convolutional Embeddings for Semantic Segmentation
Adam W. Harley
Konstantinos G. Derpanis
Iasonas Kokkinos
SSeg
82
18
0
13 Nov 2015
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
130
1,322
0
10 Nov 2015
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs
  and a Discriminatively Trained Domain Transform
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
Liang-Chieh Chen
Jonathan T. Barron
George Papandreou
Kevin Patrick Murphy
Alan Yuille
90
367
0
10 Nov 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder
  Architectures for Scene Understanding
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCVBDL
100
1,068
0
09 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
15,856
0
02 Nov 2015
Deep Recurrent Regression for Facial Landmark Detection
Deep Recurrent Regression for Facial Landmark Detection
Hanjiang Lai
Shengtao Xiao
Yan Pan
Zhen Cui
Jiashi Feng
Chunyan Xu
Jian Yin
Shuicheng Yan
3DVCVBM
70
58
0
30 Oct 2015
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Hyeonseob Nam
Bohyung Han
120
2,478
0
27 Oct 2015
Proposal-free Network for Instance-level Object Segmentation
Proposal-free Network for Instance-level Object Segmentation
Xiaodan Liang
Yunchao Wei
Xiaohui Shen
Jianchao Yang
Liang Lin
Shuicheng Yan
SSeg
80
234
0
09 Sep 2015
Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians
Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians
Peiyun Hu
Deva Ramanan
BDL
75
113
0
21 Jul 2015
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong
Hyeonwoo Noh
Bohyung Han
SSeg
117
338
0
16 Jun 2015
Learning to Select Pre-Trained Deep Representations with Bayesian
  Evidence Framework
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework
Yong-Deok Kim
Taewoong Jang
Bohyung Han
Seungjin Choi
BDL
108
14
0
08 Jun 2015
Deeply Learning the Messages in Message Passing Inference
Deeply Learning the Messages in Message Passing Inference
Guosheng Lin
Chunhua Shen
Ian Reid
Anton Van Den Hengel
3DV
118
63
0
06 Jun 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
115
986
0
06 Jun 2015
Efficient piecewise training of deep structured models for semantic
  segmentation
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLMSSeg
159
924
0
04 Apr 2015
Facial Feature Point Detection: A Comprehensive Survey
Facial Feature Point Detection: A Comprehensive Survey
Nannan Wang
Xinbo Gao
Dacheng Tao
Xuelong Li
3DPCCVBM3DH
69
243
0
04 Oct 2014
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