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Learning Dense Convolutional Embeddings for Semantic Segmentation
13 November 2015
Adam W. Harley
Konstantinos G. Derpanis
Iasonas Kokkinos
SSeg
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Papers citing
"Learning Dense Convolutional Embeddings for Semantic Segmentation"
10 / 10 papers shown
Title
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
244
4,180
0
17 May 2015
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
151
3,497
0
24 Apr 2015
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko
N. Komodakis
SSL
94
1,436
0
14 Apr 2015
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLM
SSeg
156
924
0
04 Apr 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
218
4,898
0
22 Dec 2014
Computing the Stereo Matching Cost with a Convolutional Neural Network
Jure Zbontar
Yann LeCun
3DV
78
770
0
15 Sep 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
226
3,420
0
14 May 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
163
4,945
0
23 Mar 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
160
5,008
0
21 Dec 2013
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
132
3,459
0
20 Oct 2012
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