Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1511.07053
Cited By
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
22 November 2015
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Kyunghyun Cho
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLM
SSeg
Re-assign community
ArXiv
PDF
HTML
Papers citing
"ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation"
36 / 36 papers shown
Title
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
422
37,704
0
20 May 2016
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt
3DH
HAI
52
1,536
0
23 Mar 2016
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
46
41
0
15 Mar 2016
Generating images with recurrent adversarial networks
Daniel Jiwoong Im
C. Kim
Hui Jiang
Roland Memisevic
GAN
49
223
0
16 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
237
13,968
0
19 Nov 2015
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
62
366
0
10 Nov 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCV
BDL
78
1,062
0
09 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
865
15,718
0
02 Nov 2015
Batch Normalized Recurrent Neural Networks
César Laurent
Gabriel Pereyra
Philemon Brakel
Yanzhe Zhang
Yoshua Bengio
58
213
0
05 Oct 2015
Grid Long Short-Term Memory
Nal Kalchbrenner
Ivo Danihelka
Alex Graves
AI4TS
74
362
0
06 Jul 2015
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
Marijn F. Stollenga
Wonmin Byeon
Marcus Liwicki
Jürgen Schmidhuber
61
295
0
24 Jun 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
219
792
0
27 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.4K
76,547
0
18 May 2015
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
191
4,166
0
17 May 2015
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
Francesco Visin
Kyle Kastner
Kyunghyun Cho
Matteo Matteucci
Aaron Courville
Yoshua Bengio
SSeg
60
271
0
03 May 2015
CRF Learning with CNN Features for Image Segmentation
Fayao Liu
Guosheng Lin
Chunhua Shen
SSeg
52
207
0
28 Mar 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
298
10,034
0
10 Feb 2015
Gated Feedback Recurrent Neural Networks
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
72
825
0
09 Feb 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.2K
149,474
0
22 Dec 2014
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
J. Chorowski
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
87
470
0
04 Dec 2014
Hypercolumns for Object Segmentation and Fine-grained Localization
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
SSeg
123
1,594
0
21 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
170
2,674
0
18 Nov 2014
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
366
43,511
0
17 Sep 2014
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
321
20,491
0
10 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.1K
99,991
0
04 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
422
27,205
0
01 Sep 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation
Yoshua Bengio
80
182
0
29 Jul 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
731
23,235
0
03 Jun 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
143
4,999
0
21 Dec 2013
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
143
1,830
0
20 Dec 2013
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
247
6,267
0
16 Dec 2013
Scalable Object Detection using Deep Neural Networks
D. Erhan
Christian Szegedy
Alexander Toshev
Dragomir Anguelov
ObjD
108
1,165
0
08 Dec 2013
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
400
15,825
0
12 Nov 2013
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
123
6,619
0
22 Dec 2012
Advances in Optimizing Recurrent Networks
Yoshua Bengio
Nicolas Boulanger-Lewandowski
Razvan Pascanu
ODL
79
522
0
04 Dec 2012
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
85
1,420
0
23 Nov 2012
1