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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"

24 / 1,524 papers shown
Title
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
105
7,334
0
12 Sep 2016
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Anurag Arnab
Philip Torr
SSeg
23
52
0
08 Sep 2016
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
Mohsen Fayyaz
M. H. Saffar
Mohammad Sabokrou
M. Fathy
Reinhard Klette
Fay Huang
11
56
0
21 Aug 2016
Clockwork Convnets for Video Semantic Segmentation
Clockwork Convnets for Video Semantic Segmentation
Evan Shelhamer
Kate Rakelly
Judy Hoffman
Trevor Darrell
37
199
0
11 Aug 2016
Convolutional Oriented Boundaries
Convolutional Oriented Boundaries
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo Arbelaez
Luc Van Gool
13
231
0
09 Aug 2016
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
36
109
0
05 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
43
49
0
08 Jul 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
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
97
3,649
0
26 May 2016
Artistic style transfer for videos
Artistic style transfer for videos
Manuel Ruder
Alexey Dosovitskiy
Thomas Brox
19
193
0
28 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
27
174
0
18 Apr 2016
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural
  Networks
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks
Peter Ondruska
J. Dequaire
Dominic Zeng Wang
Ingmar Posner
24
62
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
73
11,480
0
06 Apr 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
WSOD
VLM
ISeg
45
741
0
24 Mar 2016
A guide to convolution arithmetic for deep learning
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt
3DH
HAI
16
1,534
0
23 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
27
41
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
104
125
0
10 Mar 2016
Global Deconvolutional Networks for Semantic Segmentation
Global Deconvolutional Networks for Semantic Segmentation
Vladimir Nekrasov
Janghoon Ju
Jaesik Choi
SSeg
31
12
0
12 Feb 2016
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
14
230
0
25 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
SSeg
SupR
30
129
0
20 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
454
15,657
0
02 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
169
792
0
27 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
124
43,050
0
11 Feb 2015
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