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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
ArXivPDFHTML

Papers citing "Learning Deconvolution Network for Semantic Segmentation"

50 / 536 papers shown
Title
Zoom Out-and-In Network with Recursive Training for Object Proposal
Zoom Out-and-In Network with Recursive Training for Object Proposal
Hongyang Li
Yu Liu
Wanli Ouyang
Xiaogang Wang
ObjD
33
23
0
19 Feb 2017
Deep Heterogeneous Feature Fusion for Template-Based Face Recognition
Deep Heterogeneous Feature Fusion for Template-Based Face Recognition
Navaneeth Bodla
Jingxiao Zheng
Hongyu Xu
Jun-Cheng Chen
Carlos D. Castillo
Rama Chellappa
CVBM
31
65
0
15 Feb 2017
Estimation of the volume of the left ventricle from MRI images using
  deep neural networks
Estimation of the volume of the left ventricle from MRI images using deep neural networks
Fangzhou Liao
Xi Chen
Xiaolin Hu
Sen Song
45
49
0
13 Feb 2017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network
  (RED-CNN)
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
Hu Chen
Yi Zhang
M. Kalra
Feng Lin
Yang Chen
Peixi Liao
Jiliu Zhou
Ge Wang
MedIm
41
1,292
0
01 Feb 2017
FusionSeg: Learning to combine motion and appearance for fully automatic
  segmention of generic objects in videos
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos
Enis Berk Çoban
Bo Xiong
Michael I. Mandel
VOS
45
381
0
19 Jan 2017
Pixel Objectness
Pixel Objectness
S. Jain
Bo Xiong
Kristen Grauman
27
37
0
19 Jan 2017
CNN-based Segmentation of Medical Imaging Data
CNN-based Segmentation of Medical Imaging Data
Baris Kayalibay
Grady Jensen
Patrick van der Smagt
SSeg
33
413
0
11 Jan 2017
Weakly Supervised Semantic Segmentation using Web-Crawled Videos
Weakly Supervised Semantic Segmentation using Web-Crawled Videos
Seunghoon Hong
Donghun Yeo
Suha Kwak
Honglak Lee
Bohyung Han
44
158
0
02 Jan 2017
Rotation equivariant vector field networks
Rotation equivariant vector field networks
Diego Marcos
Michele Volpi
N. Komodakis
D. Tuia
28
266
0
29 Dec 2016
Globally Optimal Object Tracking with Fully Convolutional Networks
Globally Optimal Object Tracking with Fully Convolutional Networks
Jinho Lee
Brian Kenji Iwana
Shouta Ide
S. Uchida
21
4
0
25 Dec 2016
Beyond Skip Connections: Top-Down Modulation for Object Detection
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava
Rahul Sukthankar
Jitendra Malik
Abhinav Gupta
ObjD
41
320
0
20 Dec 2016
Deeply Aggregated Alternating Minimization for Image Restoration
Deeply Aggregated Alternating Minimization for Image Restoration
Youngjung Kim
Hyungjoo Jung
Dongbo Min
Kwanghoon Sohn
18
30
0
20 Dec 2016
Beyond Holistic Object Recognition: Enriching Image Understanding with
  Part States
Beyond Holistic Object Recognition: Enriching Image Understanding with Part States
Cewu Lu
Hao Su
Yongyi Lu
L. Yi
Chi-Keung Tang
Leonidas J. Guibas
23
33
0
15 Dec 2016
Generalized Deep Image to Image Regression
Generalized Deep Image to Image Regression
Venkataraman Santhanam
Vlad I. Morariu
L. Davis
3DV
29
71
0
10 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
19
786
0
08 Dec 2016
Classification With an Edge: Improving Semantic Image Segmentation with
  Boundary Detection
Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection
D. Marmanis
Konrad Schindler
Jan Dirk Wegner
S. Galliani
Mihai Datcu
Uwe Stilla
37
603
0
05 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
260
1,495
0
30 Nov 2016
High-Resolution Image Inpainting using Multi-Scale Neural Patch
  Synthesis
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
Chao Yang
Xin Lu
Zhe Lin
Eli Shechtman
Oliver Wang
Hao Li
37
779
0
30 Nov 2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for
  Semantic Segmentation
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
S. Jégou
M. Drozdzal
David Vazquez
Adriana Romero
Yoshua Bengio
SSeg
46
1,573
0
28 Nov 2016
3D Human Pose Estimation from a Single Image via Distance Matrix
  Regression
3D Human Pose Estimation from a Single Image via Distance Matrix Regression
Francesc Moreno-Noguer
3DH
41
391
0
28 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
35
562
0
24 Nov 2016
Image-based localization using LSTMs for structured feature correlation
Image-based localization using LSTMs for structured feature correlation
F. Walch
C. Hazirbas
Laura Leal-Taixé
Torsten Sattler
S. Hilsenbeck
Daniel Cremers
44
494
0
23 Nov 2016
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li
Haozhi Qi
Jifeng Dai
Xiangyang Ji
Yichen Wei
ISeg
SSeg
44
1,002
0
23 Nov 2016
CAS-CNN: A Deep Convolutional Neural Network for Image Compression
  Artifact Suppression
CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression
Lukas Cavigelli
P. Hager
Luca Benini
22
195
0
22 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
AI4TS
SSeg
101
2,831
0
20 Nov 2016
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage
  Assessment
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment
Nazia Attari
Ferda Ofli
Mohammad Awad
J. Lucas
Sanjay Chawla
52
44
0
20 Nov 2016
Deep Residual Learning for Compressed Sensing CT Reconstruction via
  Persistent Homology Analysis
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis
Yoseob Han
J. Yoo
J. C. Ye
32
203
0
19 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
28
98
0
16 Nov 2016
One-Shot Video Object Segmentation
One-Shot Video Object Segmentation
Sergi Caelles
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Laura Leal-Taixé
Daniel Cremers
Luc Van Gool
VOS
14
909
0
16 Nov 2016
One-to-Many Network for Visually Pleasing Compression Artifacts
  Reduction
One-to-Many Network for Visually Pleasing Compression Artifacts Reduction
Jun Guo
Hongyang Chao
45
89
0
15 Nov 2016
Semi-Dense 3D Semantic Mapping from Monocular SLAM
Semi-Dense 3D Semantic Mapping from Monocular SLAM
Xuanpeng Li
R. Belaroussi
26
63
0
13 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
27
11
0
01 Nov 2016
A CNN Cascade for Landmark Guided Semantic Part Segmentation
A CNN Cascade for Landmark Guided Semantic Part Segmentation
Aaron S. Jackson
M. Valstar
Georgios Tzimiropoulos
SSeg
24
48
0
30 Sep 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
32
384
0
22 Sep 2016
PixelNet: Towards a General Pixel-level Architecture
PixelNet: Towards a General Pixel-level Architecture
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
212
58
0
21 Sep 2016
Fully-Trainable Deep Matching
Fully-Trainable Deep Matching
James Thewlis
Shuai Zheng
Philip Torr
Andrea Vedaldi
3DV
16
42
0
12 Sep 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSeg
SSL
50
670
0
07 Sep 2016
Modeling and Propagating CNNs in a Tree Structure for Visual Tracking
Modeling and Propagating CNNs in a Tree Structure for Visual Tracking
Hyeonseob Nam
Mooyeol Baek
Bohyung Han
VOT
27
329
0
25 Aug 2016
Dense semantic labeling of sub-decimeter resolution images with
  convolutional neural networks
Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks
Michele Volpi
D. Tuia
SSeg
26
475
0
02 Aug 2016
Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully
  Convolutional Networks
Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks
Michele Mancini
G. Costante
P. Valigi
Thomas Alessandro Ciarfuglia
20
105
0
21 Jul 2016
Deep Active Contours
Deep Active Contours
Christian Rupprecht
Elizabeth Huaroc
Maximilian Baust
Nassir Navab
205
64
0
18 Jul 2016
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Heng Fan
Xue Mei
Danil Prokhorov
Haibin Ling
43
49
0
08 Jul 2016
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip
  Connections
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
Xiao-Jiao Mao
Chunhua Shen
Yubin Yang
SupR
35
396
0
29 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
138
8,558
0
15 Jun 2016
Fully Convolutional Networks for Dense Semantic Labelling of
  High-Resolution Aerial Imagery
Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery
Jamie Sherrah
SSeg
21
362
0
08 Jun 2016
Convolutional Neural Fabrics
Convolutional Neural Fabrics
Shreyas Saxena
Jakob Verbeek
24
225
0
08 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,059
0
07 Jun 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
92
18,058
0
02 Jun 2016
Recurrent Fully Convolutional Networks for Video Segmentation
Recurrent Fully Convolutional Networks for Video Segmentation
Sepehr Valipour
Mennatullah Siam
Martin Jägersand
Nilanjan Ray
VOS
27
89
0
01 Jun 2016
End-to-End Instance Segmentation with Recurrent Attention
End-to-End Instance Segmentation with Recurrent Attention
Mengye Ren
R. Zemel
SSeg
30
61
0
30 May 2016
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