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Multi-Scale Context Aggregation by Dilated Convolutions

Multi-Scale Context Aggregation by Dilated Convolutions

23 November 2015
Feng Yu
V. Koltun
    SSeg
ArXivPDFHTML

Papers citing "Multi-Scale Context Aggregation by Dilated Convolutions"

50 / 1,016 papers shown
Title
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming Liu
Jan Kautz
3DPC
76
2,425
0
07 Sep 2017
Learning Dilation Factors for Semantic Segmentation of Street Scenes
Learning Dilation Factors for Semantic Segmentation of Street Scenes
Yang He
M. Keuper
Bernt Schiele
Mario Fritz
SSeg
19
8
0
06 Sep 2017
Improving Landmark Localization with Semi-Supervised Learning
Improving Landmark Localization with Semi-Supervised Learning
S. Honari
Pavlo Molchanov
Stephen Tyree
Pascal Vincent
C. Pal
Jan Kautz
SSL
38
162
0
05 Sep 2017
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using
  Multi-Task Hierarchical Deep Networks
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks
Ravi Kiran Sarvadevabhatla
Isht Dwivedi
Abhijat Biswas
S. Manocha
R. VenkateshBabu
3DV
24
38
0
05 Sep 2017
Single Shot Text Detector with Regional Attention
Single Shot Text Detector with Regional Attention
Pan He
Weilin Huang
Tong He
Qile Zhu
Yu Qiao
Xiaolin Li
VLM
31
297
0
01 Sep 2017
Semantic Foggy Scene Understanding with Synthetic Data
Semantic Foggy Scene Understanding with Synthetic Data
Daniel Gehrig
Dengxin Dai
Luc Van Gool
49
1,089
0
25 Aug 2017
Capturing Long-term Temporal Dependencies with Convolutional Networks
  for Continuous Emotion Recognition
Capturing Long-term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition
S. Khorram
Zakaria Aldeneh
Dimitrios Dimitriadis
M. McInnis
E. Provost
39
39
0
23 Aug 2017
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Adam W. Harley
Konstantinos G. Derpanis
Iasonas Kokkinos
SSeg
35
141
0
15 Aug 2017
Semantic Instance Segmentation with a Discriminative Loss Function
Semantic Instance Segmentation with a Discriminative Loss Function
Bert De Brabandere
D. Neven
Luc Van Gool
SSeg
57
443
0
08 Aug 2017
DSOD: Learning Deeply Supervised Object Detectors from Scratch
DSOD: Learning Deeply Supervised Object Detectors from Scratch
Zhiqiang Shen
Zhuang Liu
Jianguo Li
Yu-Gang Jiang
Yurong Chen
Xiangyang Xue
ObjD
25
600
0
03 Aug 2017
Automatic Segmentation and Disease Classification Using Cardiac Cine MR
  Images
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images
J. Wolterink
T. Leiner
M. Viergever
Ivana Isgum
24
111
0
03 Aug 2017
Photographic Image Synthesis with Cascaded Refinement Networks
Photographic Image Synthesis with Cascaded Refinement Networks
Qifeng Chen
V. Koltun
26
946
0
28 Jul 2017
Fast Deep Matting for Portrait Animation on Mobile Phone
Fast Deep Matting for Portrait Animation on Mobile Phone
Bingke Zhu
Yingying Chen
Jinqiao Wang
Si Liu
Bo Zhang
Ming Tang
3DH
24
78
0
26 Jul 2017
Efficient Yet Deep Convolutional Neural Networks for Semantic
  Segmentation
Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation
Sharif Amit Kamran
A. Sabbir
SSeg
13
19
0
26 Jul 2017
Adversarial training and dilated convolutions for brain MRI segmentation
Adversarial training and dilated convolutions for brain MRI segmentation
P. Moeskops
M. Veta
Maxime W. Lafarge
K. Eppenhof
J. Pluim
MedIm
GAN
30
132
0
11 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
124
166
0
08 Jul 2017
Online Adaptation of Convolutional Neural Networks for Video Object
  Segmentation
Online Adaptation of Convolutional Neural Networks for Video Object Segmentation
P. Voigtlaender
Bastian Leibe
VOS
30
394
0
28 Jun 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Nitika Verma
Edmond Boyer
Jakob Verbeek
3DPC
GNN
26
25
0
16 Jun 2017
One Model To Learn Them All
One Model To Learn Them All
Lukasz Kaiser
Aidan Gomez
Noam M. Shazeer
Ashish Vaswani
Niki Parmar
Llion Jones
Jakob Uszkoreit
VLM
ViT
30
333
0
16 Jun 2017
LinkNet: Exploiting Encoder Representations for Efficient Semantic
  Segmentation
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia
Eugenio Culurciello
SSeg
18
1,367
0
14 Jun 2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi
Zhihan Gao
Leonard Lausen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
25
791
0
12 Jun 2017
Depthwise Separable Convolutions for Neural Machine Translation
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser
Aidan Gomez
François Chollet
41
278
0
09 Jun 2017
Dilated Residual Networks
Dilated Residual Networks
Feng Yu
V. Koltun
Thomas Funkhouser
MedIm
6
1,613
0
28 May 2017
Enhancement of SSD by concatenating feature maps for object detection
Enhancement of SSD by concatenating feature maps for object detection
Jisoo Jeong
Hyojin Park
Nojun Kwak
ObjD
27
317
0
26 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
45
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
90
3,074
0
19 May 2017
DeepCorrect: Correcting DNN models against Image Distortions
DeepCorrect: Correcting DNN models against Image Distortions
Tejas S. Borkar
Lina Karam
27
93
0
05 May 2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor
  Decompositions
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions
Nadav Cohen
Or Sharir
Yoav Levine
Ronen Tamari
David Yakira
Amnon Shashua
20
38
0
05 May 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
28
341
0
27 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
3DV
SSeg
34
1,270
0
22 Apr 2017
Multi-view Supervision for Single-view Reconstruction via Differentiable
  Ray Consistency
Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency
Shubham Tulsiani
Tinghui Zhou
Alyosha A. Efros
Jitendra Malik
3DV
36
558
0
20 Apr 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation
Universal Adversarial Perturbations Against Semantic Image Segmentation
J. H. Metzen
Mummadi Chaithanya Kumar
Thomas Brox
Volker Fischer
AAML
30
287
0
19 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
10
787
0
18 Apr 2017
2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose
  Estimation
2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation
Ju Yong Chang
Kyoung Mu Lee
3DH
22
17
0
13 Apr 2017
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline
  Optimization
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization
D. Vigneault
Weidi Xie
D. Bluemke
J. A. Noble
16
13
0
12 Apr 2017
Learning Deep CNN Denoiser Prior for Image Restoration
Learning Deep CNN Denoiser Prior for Image Restoration
Peng Sun
W. Zuo
Shuhang Gu
Lei Zhang
SupR
73
1,831
0
11 Apr 2017
Loss Max-Pooling for Semantic Image Segmentation
Loss Max-Pooling for Semantic Image Segmentation
Samuel Rota Buló
Gerhard Neuhold
Peter Kontschieder
SSeg
28
116
0
10 Apr 2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
38
1,120
0
08 Apr 2017
Multiple Instance Detection Network with Online Instance Classifier
  Refinement
Multiple Instance Detection Network with Online Instance Classifier Refinement
Peng Tang
Xinggang Wang
X. Bai
Wenyu Liu
WSOD
24
437
0
01 Apr 2017
Learning Visual Servoing with Deep Features and Fitted Q-Iteration
Learning Visual Servoing with Deep Features and Fitted Q-Iteration
Alex X. Lee
Sergey Levine
Pieter Abbeel
SSL
30
73
0
31 Mar 2017
Active Convolution: Learning the Shape of Convolution for Image
  Classification
Active Convolution: Learning the Shape of Convolution for Image Classification
Yunho Jeon
Junmo Kim
29
171
0
27 Mar 2017
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in
  Chest X-rays
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays
Wei-Ming Dai
Joseph Doyle
Xiaodan Liang
Zeya Wang
Nanqing Dong
Huatian Zhang
Eric Xing
MedIm
31
170
0
26 Mar 2017
Open Vocabulary Scene Parsing
Open Vocabulary Scene Parsing
Hang Zhao
Xavier Puig
Bolei Zhou
Sanja Fidler
Antonio Torralba
VLM
3DV
22
119
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
23
242
0
22 Mar 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
92
5,261
0
17 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
BDL
OOD
UD
UQCV
PER
58
4,645
0
15 Mar 2017
Comparison of the Deep-Learning-Based Automated Segmentation Methods for
  the Head Sectioned Images of the Virtual Korean Human Project
Comparison of the Deep-Learning-Based Automated Segmentation Methods for the Head Sectioned Images of the Virtual Korean Human Project
M. Eshghi
H. Roth
M. Oda
M. Chung
K. Mori
18
3
0
15 Mar 2017
Conditional Time Series Forecasting with Convolutional Neural Networks
Conditional Time Series Forecasting with Convolutional Neural Networks
Anastasia Borovykh
S. Bohté
C. Oosterlee
AI4TS
18
468
0
14 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
32
46
0
12 Mar 2017
Colorization as a Proxy Task for Visual Understanding
Colorization as a Proxy Task for Visual Understanding
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
SSL
65
494
0
11 Mar 2017
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