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Exploiting Local Features from Deep Networks for Image Retrieval
v1v2 (latest)

Exploiting Local Features from Deep Networks for Image Retrieval

20 April 2015
Joe Yue-Hei Ng
Fan Yang
L. Davis
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Exploiting Local Features from Deep Networks for Image Retrieval"

14 / 14 papers shown
Title
Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval
Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval
Eng-Jon Ong
S. Husain
M. Bober
87
48
0
01 Feb 2017
Large-Scale Image Retrieval with Attentive Deep Local Features
Large-Scale Image Retrieval with Attentive Deep Local Features
Hyeonwoo Noh
A. Araújo
Jack Sim
Tobias Weyand
Bohyung Han
3DV
113
770
0
19 Dec 2016
Learning Low Dimensional Convolutional Neural Networks for
  High-Resolution Remote Sensing Image Retrieval
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval
Weixun Zhou
Shawn D. Newsam
Congmin Li
Z. Shao
161
183
0
10 Oct 2016
Visual Instance Retrieval with Deep Convolutional Networks
Visual Instance Retrieval with Deep Convolutional Networks
A. Razavian
Josephine Sullivan
S. Carlsson
A. Maki
88
366
0
20 Dec 2014
A Discriminative CNN Video Representation for Event Detection
A Discriminative CNN Video Representation for Event Detection
Zhongwen Xu
Yi Yang
Alexander G. Hauptmann
100
450
0
14 Nov 2014
Do Convnets Learn Correspondence?
Do Convnets Learn Correspondence?
Jonathan Long
Ning Zhang
Trevor Darrell
86
311
0
04 Nov 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
468
43,658
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
1.6K
100,386
0
04 Sep 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
274
14,711
0
20 Jun 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
157
4,940
0
23 Mar 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Yunchao Gong
Liwei Wang
Ruiqi Guo
Svetlana Lazebnik
179
1,089
0
07 Mar 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
151
5,007
0
21 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,893
0
12 Nov 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
186
4,950
0
06 Oct 2013
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