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Deep Learning for Instance Retrieval: A Survey

Deep Learning for Instance Retrieval: A Survey

27 January 2021
Wei Chen
Yu Liu
Weiping Wang
E. Bakker
Theodoros Georgiou
Paul Fieguth
Li Liu
M. Lew
    VLM
ArXivPDFHTML

Papers citing "Deep Learning for Instance Retrieval: A Survey"

37 / 87 papers shown
Title
Fast Spectral Ranking for Similarity Search
Fast Spectral Ranking for Similarity Search
Ahmet Iscen
Yannis Avrithis
Giorgos Tolias
Teddy Furon
Ondřej Chum
52
48
0
20 Mar 2017
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
49
48
0
01 Feb 2017
Deep Region Hashing for Efficient Large-scale Instance Search from
  Images
Deep Region Hashing for Efficient Large-scale Instance Search from Images
Jingkuan Song
Tao He
Lianli Gao
Xing Xu
Heng Tao Shen
53
37
0
26 Jan 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
77
769
0
19 Dec 2016
Efficient Diffusion on Region Manifolds: Recovering Small Objects with
  Compact CNN Representations
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Teddy Furon
Ondřej Chum
DiffM
59
180
0
16 Nov 2016
End-to-end Learning of Deep Visual Representations for Image Retrieval
End-to-end Learning of Deep Visual Representations for Image Retrieval
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
VLM
61
539
0
25 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
432
28,795
0
09 Sep 2016
SIFT Meets CNN: A Decade Survey of Instance Retrieval
SIFT Meets CNN: A Decade Survey of Instance Retrieval
Liang Zheng
Yi Yang
Q. Tian
57
696
0
05 Aug 2016
Where to Focus: Query Adaptive Matching for Instance Retrieval Using
  Convolutional Feature Maps
Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps
Jiewei Cao
Lingqiao Liu
Peng Wang
Zi Huang
Chunhua Shen
Heng Tao Shen
40
19
0
22 Jun 2016
A Survey on Learning to Hash
A Survey on Learning to Hash
Jingdong Wang
Ting Zhang
Jingkuan Song
N. Sebe
Heng Tao Shen
86
965
0
01 Jun 2016
Embedding based on function approximation for large scale image search
Embedding based on function approximation for large scale image search
Thanh-Toan Do
Ngai-Man Cheung
44
40
0
23 May 2016
Faster R-CNN Features for Instance Search
Faster R-CNN Features for Instance Search
Amaia Salvador
Xavier Giró-i-Nieto
F. Marqués
Shiníchi Satoh
25
148
0
29 Apr 2016
Bags of Local Convolutional Features for Scalable Instance Search
Bags of Local Convolutional Features for Scalable Instance Search
Eva Mohedano
Amaia Salvador
Kevin McGuinness
F. Marqués
Noel E. O'Connor
Xavier Giró-i-Nieto
42
162
0
15 Apr 2016
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard
  Examples
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
Filip Radenovic
Giorgos Tolias
Ondřej Chum
SSL
80
599
0
08 Apr 2016
Deep Image Retrieval: Learning global representations for image search
Deep Image Retrieval: Learning global representations for image search
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
58
805
0
05 Apr 2016
Good Practice in CNN Feature Transfer
Good Practice in CNN Feature Transfer
Liang Zheng
Yali Zhao
Shengjin Wang
Jingdong Wang
Q. Tian
58
160
0
01 Apr 2016
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval
Olivier Morère
Jie Lin
A. Veillard
V. Chandrasekhar
Tomaso Poggio
33
16
0
15 Mar 2016
Convolutional Patch Representations for Image Retrieval: an Unsupervised
  Approach
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach
Mattis Paulin
Julien Mairal
Matthijs Douze
Zaïd Harchaoui
Florent Perronnin
Cordelia Schmid
SSL
51
64
0
01 Mar 2016
Cross-dimensional Weighting for Aggregated Deep Convolutional Features
Cross-dimensional Weighting for Aggregated Deep Convolutional Features
Yannis Kalantidis
Clayton Mellina
Simon Osindero
FAtt
34
433
0
13 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
NetVLAD: CNN architecture for weakly supervised place recognition
NetVLAD: CNN architecture for weakly supervised place recognition
Relja Arandjelović
Petr Gronát
Akihiko Torii
Tomas Pajdla
Josef Sivic
3DV
SSL
111
2,626
0
23 Nov 2015
Particular object retrieval with integral max-pooling of CNN activations
Particular object retrieval with integral max-pooling of CNN activations
Giorgos Tolias
R. Sicre
Hervé Jégou
69
967
0
18 Nov 2015
Aggregating Deep Convolutional Features for Image Retrieval
Aggregating Deep Convolutional Features for Image Retrieval
Artem Babenko
Victor Lempitsky
FAtt
47
692
0
26 Oct 2015
Supervised Learning of Semantics-Preserving Hash via Deep Convolutional
  Neural Networks
Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks
Huei-Fang Yang
Kevin Qinghong Lin
Chu-Song Chen
63
250
0
01 Jul 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
406
61,900
0
04 Jun 2015
Object Level Deep Feature Pooling for Compact Image Representation
Object Level Deep Feature Pooling for Compact Image Representation
Konda Reddy Mopuri
R. Venkatesh Babu
41
65
0
24 Apr 2015
Exploiting Local Features from Deep Networks for Image Retrieval
Exploiting Local Features from Deep Networks for Image Retrieval
Joe Yue-Hei Ng
Fan Yang
L. Davis
FAtt
58
412
0
20 Apr 2015
Visual Instance Retrieval with Deep Convolutional Networks
Visual Instance Retrieval with Deep Convolutional Networks
A. Razavian
Josephine Sullivan
S. Carlsson
A. Maki
69
366
0
20 Dec 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
138
8,309
0
06 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
297
43,511
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
FAtt
MDE
891
99,991
0
04 Sep 2014
Convolutional Kernel Networks
Convolutional Kernel Networks
Julien Mairal
Piotr Koniusz
Zaïd Harchaoui
Cordelia Schmid
70
380
0
12 Jun 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
189
3,414
0
14 May 2014
Learning Fine-grained Image Similarity with Deep Ranking
Learning Fine-grained Image Similarity with Deep Ranking
Jiang Wang
Yang Song
Thomas Leung
C. Rosenberg
Jingbin Wang
James Philbin
Bo Chen
Ying Nian Wu
SSL
81
1,315
0
17 Apr 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
124
4,937
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
154
1,090
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
120
4,999
0
21 Dec 2013
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