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Pushing the Boundaries of Boundary Detection using Deep Learning
v1v2 (latest)

Pushing the Boundaries of Boundary Detection using Deep Learning

23 November 2015
Iasonas Kokkinos
ArXiv (abs)PDFHTML

Papers citing "Pushing the Boundaries of Boundary Detection using Deep Learning"

21 / 21 papers shown
Title
Msmsfnet: a multi-stream and multi-scale fusion net for edge detection
Msmsfnet: a multi-stream and multi-scale fusion net for edge detection
Chenguang Liu
Chisheng Wang
Feifei Dong
Xiayang Xiao
Xin Su
Chuanhua Zhu
Dejin Zhang
Qingquan Li
74
1
0
07 Apr 2024
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
760
37,939
0
20 May 2016
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
173
661
0
09 Sep 2015
Semantic Amodal Segmentation
Semantic Amodal Segmentation
Yan Zhu
Yuandong Tian
Dimitris N. Metaxas
Piotr Dollár
VLM
98
172
0
04 Sep 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
156
3,499
0
24 Apr 2015
Pixel-wise Deep Learning for Contour Detection
Pixel-wise Deep Learning for Contour Detection
Jyh-Jing Hwang
Tyng-Luh Liu
61
106
0
08 Apr 2015
Efficient piecewise training of deep structured models for semantic
  segmentation
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLMSSeg
159
924
0
04 Apr 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
209
1,046
0
05 Mar 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
254
2,536
0
11 Feb 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
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
4,901
0
22 Dec 2014
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour
  Detection
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection
Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
86
470
0
02 Dec 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLMMDE
217
2,685
0
18 Nov 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
354
2,244
0
18 Sep 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
509
43,732
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,622
0
04 Sep 2014
$ N^4 $-Fields: Neural Network Nearest Neighbor Fields for Image
  Transforms
N4 N^4 N4-Fields: Neural Network Nearest Neighbor Fields for Image Transforms
Yaroslav Ganin
Victor Lempitsky
OOD
93
271
0
25 Jun 2014
Fast Edge Detection Using Structured Forests
Fast Edge Detection Using Structured Forests
Piotr Dollár
C. L. Zitnick
110
934
0
20 Jun 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE3DPC3DV
252
4,070
0
09 Jun 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
162
5,010
0
21 Dec 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
321
26,247
0
11 Nov 2013
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
132
3,462
0
20 Oct 2012
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