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High-for-Low and Low-for-High: Efficient Boundary Detection from Deep
  Object Features and its Applications to High-Level Vision
v1v2v3 (latest)

High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision

23 April 2015
Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
ArXiv (abs)PDFHTML

Papers citing "High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision"

13 / 13 papers shown
Title
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
Discriminative Sparse Neighbor Approximation for Imbalanced Learning
Discriminative Sparse Neighbor Approximation for Imbalanced Learning
Chen Huang
Chen Change Loy
Xiaoou Tang
BDL
83
29
0
03 Feb 2016
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
Hypercolumns for Object Segmentation and Fine-grained Localization
Hypercolumns for Object Segmentation and Fine-grained Localization
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
SSeg
155
1,595
0
21 Nov 2014
Reconstructive Sparse Code Transfer for Contour Detection and Semantic
  Labeling
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling
Michael Maire
Stella X. Yu
Pietro Perona
65
33
0
16 Oct 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
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,661
0
01 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
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
303
14,717
0
20 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
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
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
195
4,953
0
06 Oct 2013
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