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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
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Anurag Arnab
Juil Sock
SSeg
192
54
0
08 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
SSegSSL
256
707
0
07 Sep 2016
Radiation Search Operations using Scene Understanding with Autonomous
  UAV and UGV
Radiation Search Operations using Scene Understanding with Autonomous UAV and UGV
Gordon A. Christie
Adam Shoemaker
K. Kochersberger
Erfaun Noorani
Lance McLean
Alexander Leonessa
110
92
0
31 Aug 2016
Semantically Guided Depth Upsampling
Semantically Guided Depth Upsampling
N. Schneider
Lukas Schneider
Peter Pinggera
Uwe Franke
Marc Pollefeys
Christoph Stiller
MDE
132
79
0
02 Aug 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
182
50
0
08 Jul 2016
Deep Learning Markov Random Field for Semantic Segmentation
Deep Learning Markov Random Field for Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
Ziwei Liu
Xiaoxiao Li
Ping Luo
Chen Change Loy
Xiaoou Tang
3DV
203
164
0
23 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
140
381
0
08 Jun 2016
Convolutional Neural Fabrics
Convolutional Neural FabricsNeural Information Processing Systems (NeurIPS), 2016
Shreyas Saxena
Jakob Verbeek
265
231
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
155
50
0
08 Jun 2016
Better Image Segmentation by Exploiting Dense Semantic Predictions
Better Image Segmentation by Exploiting Dense Semantic Predictions
Qiyang Zhao
Lewis D. Griffin
SSeg
94
2
0
05 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 CRFsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
953
19,912
0
02 Jun 2016
Recurrent Fully Convolutional Networks for Video Segmentation
Recurrent Fully Convolutional Networks for Video SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2016
Sepehr Valipour
Mennatullah Siam
Martin Jägersand
Nilanjan Ray
VOS
297
94
0
01 Jun 2016
Convolutional Random Walk Networks for Semantic Image Segmentation
Convolutional Random Walk Networks for Semantic Image Segmentation
Gedas Bertasius
Lorenzo Torresani
Stella X. Yu
Jianbo Shi
SSeg
192
135
0
24 May 2016
Fast Semantic Image Segmentation with High Order Context and Guided
  Filtering
Fast Semantic Image Segmentation with High Order Context and Guided Filtering
Falong Shen
Gang Zeng
SSeg
94
10
0
13 May 2016
Estimating Depth from Monocular Images as Classification Using Deep
  Fully Convolutional Residual Networks
Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks
Yuanzhouhan Cao
Zifeng Wu
Chunhua Shen
MDE
203
436
0
08 May 2016
Laplacian Pyramid Reconstruction and Refinement for Semantic
  Segmentation
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
Golnaz Ghiasi
Charless C. Fowlkes
SSeg
201
49
0
08 May 2016
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps
Biyun Sheng
Chunhua Shen
Guosheng Lin
Jun Li
Wankou Yang
Changyin Sun
118
104
0
29 Apr 2016
Pixel-level Encoding and Depth Layering for Instance-level Semantic
  Labeling
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
J. Uhrig
Marius Cordts
Uwe Franke
Thomas Brox
SSeg
192
178
0
18 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.6K
12,707
0
06 Apr 2016
Variational reaction-diffusion systems for semantic segmentation
Variational reaction-diffusion systems for semantic segmentation
Paul Vernaza
DiffM
65
0
0
01 Apr 2016
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation
  with Deep Gaussian CRFs
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
Siddhartha Chandra
Iasonas Kokkinos
386
189
0
28 Mar 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSODVLMISeg
250
773
0
24 Mar 2016
Weakly-Supervised Semantic Segmentation using Motion Cues
Weakly-Supervised Semantic Segmentation using Motion Cues
P. Tokmakov
Alahari Karteek
Cordelia Schmid
346
56
0
23 Mar 2016
First Person Action-Object Detection with EgoNet
First Person Action-Object Detection with EgoNet
Gedas Bertasius
H. Park
Stella X. Yu
Jianbo Shi
EgoV
252
60
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
147
42
0
15 Mar 2016
Pushing the Limits of Deep CNNs for Pedestrian Detection
Pushing the Limits of Deep CNNs for Pedestrian Detection
Qichang Hu
Peng Wang
Chunhua Shen
Anton van den Hengel
Fatih Porikli
148
94
0
15 Mar 2016
Deep Interactive Object Selection
Deep Interactive Object Selection
N. Xu
Brian L. Price
Scott D. Cohen
Jimei Yang
Thomas Huang
204
460
0
13 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
339
129
0
10 Mar 2016
Global Deconvolutional Networks for Semantic Segmentation
Global Deconvolutional Networks for Semantic Segmentation
Vladimir Nekrasov
Janghoon Ju
Jaesik Choi
SSeg
116
12
0
12 Feb 2016
Discriminative Training of Deep Fully-connected Continuous CRF with
  Task-specific Loss
Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss
Fayao Liu
Guosheng Lin
Chunhua Shen
108
24
0
28 Jan 2016
Affinity CNN: Learning Pixel-Centric Pairwise Relations for
  Figure/Ground Embedding
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding
Michael Maire
T. Narihira
Stella X. Yu
177
69
0
09 Dec 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
Juil Sock
SSeg
448
232
0
25 Nov 2015
Pushing the Boundaries of Boundary Detection using Deep Learning
Pushing the Boundaries of Boundary Detection using Deep Learning
Iasonas Kokkinos
233
240
0
23 Nov 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
637
9,039
0
23 Nov 2015
Learning High-level Prior with Convolutional Neural Networks for
  Semantic Segmentation
Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation
Haitian Zheng
Yebin Liu
Mengqi Ji
Feng Wu
Lu Fang
SSeg
117
9
0
22 Nov 2015
Superpixel Convolutional Networks using Bilateral Inceptions
Superpixel Convolutional Networks using Bilateral Inceptions
Raghudeep Gadde
Varun Jampani
Martin Kiefel
Daniel Kappler
Peter V. Gehler
SSegSupR
313
135
0
20 Nov 2015
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
381
1,148
0
17 Nov 2015
Joint Training of Generic CNN-CRF Models with Stochastic Optimization
Joint Training of Generic CNN-CRF Models with Stochastic Optimization
Alexander Kirillov
D. Schlesinger
Shuai Zheng
Bogdan Savchynskyy
Juil Sock
Carsten Rother
329
21
0
16 Nov 2015
Reversible Recursive Instance-level Object Segmentation
Reversible Recursive Instance-level Object Segmentation
Xiaodan Liang
Yunchao Wei
Xiaohui Shen
Zequn Jie
Jiashi Feng
Liang Lin
Shuicheng Yan
SSegISeg
108
60
0
14 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
221
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
261
1,362
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
246
372
0
10 Nov 2015
Semantic Segmentation with Boundary Neural Fields
Semantic Segmentation with Boundary Neural Fields
Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
202
201
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
1.6K
17,108
0
02 Nov 2015
Training Deep Networks with Structured Layers by Matrix Backpropagation
Training Deep Networks with Structured Layers by Matrix Backpropagation
Catalin Ionescu
O. Vantzos
C. Sminchisescu
286
86
0
25 Sep 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
193
238
0
09 Sep 2015
Semantic Image Segmentation via Deep Parsing Network
Semantic Image Segmentation via Deep Parsing Network
Ziwei Liu
Xiaoxiao Li
Ping Luo
Chen Change Loy
Xiaoou Tang
249
668
0
09 Sep 2015
Joint Calibration for Semantic Segmentation
Joint Calibration for Semantic SegmentationBritish Machine Vision Conference (BMVC), 2015
Holger Caesar
J. Uijlings
V. Ferrari
321
37
0
06 Jul 2015
ParseNet: Looking Wider to See Better
ParseNet: Looking Wider to See Better
Wei Liu
Andrew Rabinovich
Alexander C. Berg
SSeg
277
1,250
0
15 Jun 2015
Flowing ConvNets for Human Pose Estimation in Videos
Flowing ConvNets for Human Pose Estimation in VideosIEEE International Conference on Computer Vision (ICCV), 2015
Tomas Pfister
James Charles
Andrew Zisserman
3DH
242
570
0
09 Jun 2015
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