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Fully Convolutional Networks for Semantic Segmentation

Fully Convolutional Networks for Semantic Segmentation

20 May 2016
Evan Shelhamer
Jonathan Long
Trevor Darrell
    VOS
    SSeg
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Papers citing "Fully Convolutional Networks for Semantic Segmentation"

50 / 4,023 papers shown
Title
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
33
109
0
05 Aug 2016
Detailed Garment Recovery from a Single-View Image
Detailed Garment Recovery from a Single-View Image
Shan Yang
Tanya Amert
Zherong Pan
Ke Wang
Licheng Yu
Tamara L. Berg
Ming Lin
3DH
23
54
0
03 Aug 2016
Automated X-ray Image Analysis for Cargo Security: Critical Review and
  Future Promise
Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise
T. W. Rogers
Nicolas Jaccard
E. Morton
Lewis D. Griffin
29
62
0
02 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
Semantically Guided Depth Upsampling
Semantically Guided Depth Upsampling
N. Schneider
Lukas Schneider
Peter Pinggera
Uwe Franke
Marc Pollefeys
Christoph Stiller
MDE
26
79
0
02 Aug 2016
Accelerating the Super-Resolution Convolutional Neural Network
Accelerating the Super-Resolution Convolutional Neural Network
Chao Dong
Chen Change Loy
Xiaoou Tang
SupR
76
2,951
0
01 Aug 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan
Yaniv Romano
Michael Elad
59
284
0
27 Jul 2016
Joint Optical Flow and Temporally Consistent Semantic Segmentation
Joint Optical Flow and Temporally Consistent Semantic Segmentation
Junhwa Hur
Stefan Roth
22
71
0
26 Jul 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 learning trends for focal brain pathology segmentation in MRI
Deep learning trends for focal brain pathology segmentation in MRI
Mohammad Havaei
N. Guizard
Hugo Larochelle
Pierre-Marc Jodoin
OOD
22
83
0
18 Jul 2016
HeMIS: Hetero-Modal Image Segmentation
HeMIS: Hetero-Modal Image Segmentation
Mohammad Havaei
N. Guizard
Nicolas Chapados
Yoshua Bengio
MedIm
21
261
0
18 Jul 2016
Deep Active Contours
Deep Active Contours
Christian Rupprecht
Elizabeth Huaroc
Maximilian Baust
Nassir Navab
205
64
0
18 Jul 2016
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation
Yi Zhou
Li Liu
Ling Shao
Matt Mellor
19
81
0
15 Jul 2016
Do semantic parts emerge in Convolutional Neural Networks?
Do semantic parts emerge in Convolutional Neural Networks?
Abel Gonzalez-Garcia
Davide Modolo
V. Ferrari
158
113
0
13 Jul 2016
End-to-end training of object class detectors for mean average precision
End-to-end training of object class detectors for mean average precision
Paul Henderson
V. Ferrari
ObjD
33
259
0
12 Jul 2016
RGBD Salient Object Detection via Deep Fusion
RGBD Salient Object Detection via Deep Fusion
Liangqiong Qu
Shengfeng He
Jiawei Zhang
Jiandong Tian
Yandong Tang
Qingxiong Yang
27
344
0
12 Jul 2016
Gland Instance Segmentation by Deep Multichannel Side Supervision
Gland Instance Segmentation by Deep Multichannel Side Supervision
Yan Xu
Yang Li
Mingyuan Liu
Yipei Wang
M. Lai
E. Chang
MedIm
43
109
0
12 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
Watch This: Scalable Cost-Function Learning for Path Planning in Urban
  Environments
Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments
Markus Wulfmeier
Dominic Zeng Wang
Ingmar Posner
22
114
0
08 Jul 2016
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single
  RGB Images
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images
Jun Yu Li
Reinhard Klein
Angela Yao
MDE
30
15
0
04 Jul 2016
A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method
A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method
Yuzhuo Ren
Chen Chen
Shangwen Li
C.-C. Jay Kuo
3DV
18
84
0
03 Jul 2016
3D Deeply Supervised Network for Automatic Liver Segmentation from CT
  Volumes
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
Qi Dou
Hao Chen
Yueming Jin
Lequan Yu
J. Qin
Pheng-Ann Heng
MedIm
23
343
0
03 Jul 2016
Geometry in Active Learning for Binary and Multi-class Image
  Segmentation
Geometry in Active Learning for Binary and Multi-class Image Segmentation
Ksenia Konyushkova
Raphael Sznitman
Pascal Fua
17
26
0
29 Jun 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
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
Viresh Ranjan
David J. Crandall
Dhruv Batra
BDL
UQCV
OOD
33
176
0
24 Jun 2016
Spatial Aggregation of Holistically-Nested Networks for Automated
  Pancreas Segmentation
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation
H. Roth
Le Lu
A. Farag
Andrew Sohn
Ronald M. Summers
SSeg
21
148
0
24 Jun 2016
Learning Dynamic Classes of Events using Stacked Multilayer Perceptron
  Networks
Learning Dynamic Classes of Events using Stacked Multilayer Perceptron Networks
Nattiya Kanhabua
Huamin Ren
T. Moeslund
15
6
0
23 Jun 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV
3DPC
SSeg
3DH
49
6,447
0
21 Jun 2016
Detection and Tracking of Liquids with Fully Convolutional Networks
Detection and Tracking of Liquids with Fully Convolutional Networks
Connor Schenck
Dieter Fox
13
17
0
20 Jun 2016
Cutting out the middleman: measuring nuclear area in histopathology
  slides without segmentation
Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation
M. Veta
P. Diest
J. Pluim
11
27
0
20 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
132
8,558
0
15 Jun 2016
Probe-based Rapid Hybrid Hyperspectral and Tissue Surface Imaging Aided
  by Fully Convolutional Networks
Probe-based Rapid Hybrid Hyperspectral and Tissue Surface Imaging Aided by Fully Convolutional Networks
Jianyu Lin
N. Clancy
Xueqing Sun
Ji Qi
M. Janatka
Danail Stoyanov
Daniel Elson
14
7
0
15 Jun 2016
Inverting face embeddings with convolutional neural networks
Inverting face embeddings with convolutional neural networks
A. Zhmoginov
Mark Sandler
3DH
CVBM
17
67
0
14 Jun 2016
Universal Correspondence Network
Universal Correspondence Network
Chris Choy
JunYoung Gwak
Silvio Savarese
Manmohan Chandraker
15
367
0
11 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
Deep Learning Convolutional Networks for Multiphoton Microscopy
  Vasculature Segmentation
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Petteri Teikari
Marc A. Santos
Charissa Poon
K. Hynynen
3DV
24
48
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
Learning deep structured network for weakly supervised change detection
Learning deep structured network for weakly supervised change detection
Salman H Khan
Xuming He
Fatih Porikli
Bennamoun
Ferdous Sohel
R. Togneri
13
7
0
07 Jun 2016
Deep Recurrent Convolutional Networks for Video-based Person
  Re-identification: An End-to-End Approach
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach
Lin Wu
Chunhua Shen
Anton Van Den Hengel
35
66
0
06 Jun 2016
Learning under Distributed Weak Supervision
Learning under Distributed Weak Supervision
Martin Rajchl
M. J. Lee
Franklin Schrans
A. Davidson
Jonathan Passerat-Palmbach
G. Tarroni
A. Alansary
Ozan Oktay
Bernhard Kainz
Daniel Rueckert
23
23
0
03 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
Deeper Depth Prediction with Fully Convolutional Residual Networks
Deeper Depth Prediction with Fully Convolutional Residual Networks
Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
3DV
MDE
16
1,819
0
01 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
55
141
0
31 May 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
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
24
2
0
26 May 2016
Depth from a Single Image by Harmonizing Overcomplete Local Network
  Predictions
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
Ayan Chakrabarti
Jingyu Shao
Gregory Shakhnarovich
MDE
30
116
0
23 May 2016
Learning Sensor Multiplexing Design through Back-propagation
Learning Sensor Multiplexing Design through Back-propagation
Ayan Chakrabarti
SSL
34
126
0
23 May 2016
Bridging Category-level and Instance-level Semantic Image Segmentation
Bridging Category-level and Instance-level Semantic Image Segmentation
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
ISeg
SSeg
9
161
0
23 May 2016
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