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

50 / 87 papers shown
Title
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
Yanhao Jia
Xinyi Wu
Hao Li
Qinglin Zhang
Yuxiao Hu
Shuai Zhao
Wenqi Fan
93
3
0
09 Feb 2025
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval
Amirreza Mahbod
Nematollah Saeidi
Sepideh Hatamikia
Ramona Woitek
VLM
MedIm
65
3
0
14 Sep 2024
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Zilong Wang
Zifeng Wang
Long Le
Huaixiu Steven Zheng
Swaroop Mishra
...
Anush Mattapalli
Ankur Taly
Jingbo Shang
Chen-Yu Lee
Tomas Pfister
RALM
102
39
0
11 Jul 2024
Learning with Label Noise for Image Retrieval by Selecting Interactions
Learning with Label Noise for Image Retrieval by Selecting Interactions
Sarah Ibrahimi
Arnaud Sors
Rafael Sampaio de Rezende
Stéphane Clinchant
NoLa
VLM
39
16
0
20 Dec 2021
InsCLR: Improving Instance Retrieval with Self-Supervision
InsCLR: Improving Instance Retrieval with Self-Supervision
Zelu Deng
Yujie Zhong
Sheng Guo
Weilin Huang
84
13
0
02 Dec 2021
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local
  and Global Features
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
Min Yang
Dongliang He
M. Fan
Baorong Shi
Xuetong Xue
Fu Li
Errui Ding
Jizhou Huang
70
95
0
06 Aug 2021
Instance-level Image Retrieval using Reranking Transformers
Instance-level Image Retrieval using Reranking Transformers
Fuwen Tan
Jiangbo Yuan
Vicente Ordonez
ViT
91
92
0
22 Mar 2021
Training Vision Transformers for Image Retrieval
Training Vision Transformers for Image Retrieval
Alaaeldin El-Nouby
Natalia Neverova
Ivan Laptev
Hervé Jégou
ViT
93
157
0
10 Feb 2021
Investigating the Vision Transformer Model for Image Retrieval Tasks
Investigating the Vision Transformer Model for Image Retrieval Tasks
S. Gkelios
Y. Boutalis
S. Chatzichristofis
VLM
ViT
45
30
0
11 Jan 2021
Content-based Image Retrieval and the Semantic Gap in the Deep Learning
  Era
Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era
Björn Barz
Joachim Denzler
VLM
15
12
0
12 Nov 2020
On the Exploration of Incremental Learning for Fine-grained Image
  Retrieval
On the Exploration of Incremental Learning for Fine-grained Image Retrieval
Wei Chen
Yu Liu
Weiping Wang
Tinne Tuytelaars
E. Bakker
M. Lew
CLL
19
16
0
15 Oct 2020
Learning and aggregating deep local descriptors for instance-level
  recognition
Learning and aggregating deep local descriptors for instance-level recognition
Giorgos Tolias
Tomás Jenícek
Ondvrej Chum
FedML
195
101
0
26 Jul 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
A. Brown
Weidi Xie
Vicky Kalogeiton
Andrew Zisserman
64
163
0
23 Jul 2020
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for
  Instance-Level Recognition and Retrieval
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval
Tobias Weyand
A. Araújo
Bingyi Cao
Jack Sim
58
367
0
03 Apr 2020
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
Shuhei Yokoo
Kohei Ozaki
E. Simo-Serra
S. Iizuka
96
31
0
25 Mar 2020
A unifying mutual information view of metric learning: cross-entropy vs.
  pairwise losses
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Malik Boudiaf
Jérôme Rony
Imtiaz Masud Ziko
Eric Granger
M. Pedersoli
Pablo Piantanida
Ismail Ben Ayed
SSL
42
159
0
19 Mar 2020
A Metric Learning Reality Check
A Metric Learning Reality Check
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
120
475
0
18 Mar 2020
SOLAR: Second-Order Loss and Attention for Image Retrieval
SOLAR: Second-Order Loss and Attention for Image Retrieval
Tony Ng
Vassileios Balntas
Yurun Tian
K. Mikolajczyk
46
106
0
24 Jan 2020
Unifying Deep Local and Global Features for Image Search
Unifying Deep Local and Global Features for Image Search
Bingyi Cao
A. Araújo
Jack Sim
VLM
FedML
20
22
0
14 Jan 2020
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve
  the Tower
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower
Giorgos Tolias
Filip Radenovic
Ondřej Chum
AAML
29
70
0
24 Aug 2019
Learning with Average Precision: Training Image Retrieval with a
  Listwise Loss
Learning with Average Precision: Training Image Retrieval with a Listwise Loss
Jérôme Revaud
Jon Almazán
Rafael Sampaio de Rezende
César Roberto de Souza
VLM
46
373
0
18 Jun 2019
REMAP: Multi-layer entropy-guided pooling of dense CNN features for
  image retrieval
REMAP: Multi-layer entropy-guided pooling of dense CNN features for image retrieval
S. Husain
M. Bober
36
51
0
15 Jun 2019
Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse
  Dataset
Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset
Kohei Ozaki
Shuhei Yokoo
36
35
0
10 Jun 2019
Efficient Object Embedding for Spliced Image Retrieval
Efficient Object Embedding for Spliced Image Retrieval
Bor-Chun Chen
Zuxuan Wu
L. Davis
Ser-Nam Lim
46
8
0
28 May 2019
Local Features and Visual Words Emerge in Activations
Local Features and Visual Words Emerge in Activations
Oriane Siméoni
Yannis Avrithis
Ondřej Chum
85
74
0
15 May 2019
D2-Net: A Trainable CNN for Joint Detection and Description of Local
  Features
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
Mihai Dusmanu
Ignacio Rocco
Tomas Pajdla
Marc Pollefeys
Josef Sivic
Akihiko Torii
Torsten Sattler
32
679
0
09 May 2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric
  Learning
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
Xun Wang
Xintong Han
Weilin Huang
Dengke Dong
Matthew R. Scott
44
742
0
14 Apr 2019
A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
87
2,286
0
17 Jan 2019
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
Marvin Teichmann
A. Araújo
Menglong Zhu
Jack Sim
ObjD
25
117
0
04 Dec 2018
Towards Visual Feature Translation
Towards Visual Feature Translation
Jie Hu
Rongrong Ji
Hong Liu
Shengchuan Zhang
Cheng Deng
Q. Tian
DiffM
37
13
0
03 Dec 2018
Universal Perturbation Attack Against Image Retrieval
Universal Perturbation Attack Against Image Retrieval
Jie Li
Rongrong Ji
Hong Liu
Xiaopeng Hong
Yue Gao
Q. Tian
AAML
45
98
0
03 Dec 2018
Efficient Image Retrieval via Decoupling Diffusion into Online and
  Offline Processing
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
Fan Yang
Ryota Hinami
Yusuke Matsui
Steven Ly
Shiníchi Satoh
DiffM
35
49
0
27 Nov 2018
Matchable Image Retrieval by Learning from Surface Reconstruction
Matchable Image Retrieval by Learning from Surface Reconstruction
Tianwei Shen
Zixin Luo
Lei Zhou
Runze Zhang
Siyu Zhu
Tian Fang
Long Quan
3DV
37
50
0
26 Nov 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
138
2,438
0
06 Sep 2018
Multi-feature Fusion for Image Retrieval Using Constrained Dominant Sets
Multi-feature Fusion for Image Retrieval Using Constrained Dominant Sets
L. T. Alemu
Marcello Pelillo
43
21
0
15 Aug 2018
Deep Randomized Ensembles for Metric Learning
Deep Randomized Ensembles for Metric Learning
Hong Xuan
Richard Souvenir
Robert Pless
UQCV
OOD
59
102
0
13 Aug 2018
Deep Clustering for Unsupervised Learning of Visual Features
Deep Clustering for Unsupervised Learning of Visual Features
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
SSL
73
1,878
0
15 Jul 2018
Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for
  Image Retrieval
Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval
Shanmin Pang
Jin Ma
Jianru Xue
Jihua Zhu
Vicente Ordonez
OOD
34
37
0
22 May 2018
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Filip Radenovic
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
41
376
0
29 Mar 2018
Mining on Manifolds: Metric Learning without Labels
Mining on Manifolds: Metric Learning without Labels
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
SSL
50
114
0
29 Mar 2018
From Selective Deep Convolutional Features to Compact Binary
  Representations for Image Retrieval
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval
Thanh-Toan Do
Tuan Hoang
Dang-Khoa Le Tan
Huu Le
Tam V. Nguyen
Ngai-Man Cheung
42
31
0
07 Feb 2018
Saliency Weighted Convolutional Features for Instance Search
Saliency Weighted Convolutional Features for Instance Search
Eva Mohedano
Kevin McGuinness
Xavier Giró-i-Nieto
Noel E. O'Connor
FAtt
32
31
0
29 Nov 2017
Fine-tuning CNN Image Retrieval with No Human Annotation
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenovic
Giorgos Tolias
Ondřej Chum
56
1,294
0
03 Nov 2017
Effective Image Retrieval via Multilinear Multi-index Fusion
Effective Image Retrieval via Multilinear Multi-index Fusion
Zhizhong Zhang
Yuan Xie
Wensheng Zhang
Q. Tian
41
15
0
27 Sep 2017
Learning Non-Metric Visual Similarity for Image Retrieval
Learning Non-Metric Visual Similarity for Image Retrieval
Noa Garcia
George Vogiatzis
32
37
0
05 Sep 2017
Iterative Manifold Embedding Layer Learned by Incomplete Data for
  Large-scale Image Retrieval
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval
Jian Xu
Chunheng Wang
Cheng-Zuo Qi
Cunzhao Shi
Baihua Xiao
21
20
0
14 Jul 2017
Few-Shot Learning Through an Information Retrieval Lens
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou
R. Zemel
R. Urtasun
45
238
0
09 Jul 2017
Class-Weighted Convolutional Features for Visual Instance Search
Class-Weighted Convolutional Features for Visual Instance Search
Albert Jiménez
J. Álvarez
Xavier Giró-i-Nieto
18
75
0
09 Jul 2017
Working hard to know your neighbor's margins: Local descriptor learning
  loss
Working hard to know your neighbor's margins: Local descriptor learning loss
A. Mishchuk
Dmytro Mishkin
Filip Radenovic
Jirí Matas
63
689
0
30 May 2017
Simultaneous Feature Aggregating and Hashing for Large-scale Image
  Search
Simultaneous Feature Aggregating and Hashing for Large-scale Image Search
Thanh-Toan Do
Dang-Khoa Le Tan
Trung T. Pham
Ngai-Man Cheung
34
36
0
04 Apr 2017
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