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Self-supervised Product Quantization for Deep Unsupervised Image
  Retrieval

Self-supervised Product Quantization for Deep Unsupervised Image Retrieval

6 September 2021
Young Kyun Jang
N. Cho
    MQ
ArXivPDFHTML

Papers citing "Self-supervised Product Quantization for Deep Unsupervised Image Retrieval"

24 / 24 papers shown
Title
Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap
Srivatsa Mallapragada
Ying Xie
Varsha Rani Chawan
Zeyad Hailat
Yuanbo Wang
71
0
0
28 Jan 2025
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
159
4,051
0
17 Jun 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
73
1,073
0
08 Apr 2020
Auto-Encoding Twin-Bottleneck Hashing
Auto-Encoding Twin-Bottleneck Hashing
Yuming Shen
Jie Qin
Jiaxin Chen
Mengyang Yu
Li Liu
Fan Zhu
Fumin Shen
Ling Shao
60
122
0
27 Feb 2020
Generalized Product Quantization Network for Semi-supervised Image
  Retrieval
Generalized Product Quantization Network for Semi-supervised Image Retrieval
Young Kyun Jang
N. Cho
107
38
0
26 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
255
18,607
0
13 Feb 2020
Kornia: an Open Source Differentiable Computer Vision Library for
  PyTorch
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
F. Mokhayeri
Dmytro Mishkin
Daniel Ponsa
Ethan Rublee
Gary R. Bradski
VLM
AI4TS
104
353
0
05 Oct 2019
Unsupervised Neural Quantization for Compressed-Domain Similarity Search
Unsupervised Neural Quantization for Compressed-Domain Similarity Search
S. Morozov
Artem Babenko
42
29
0
11 Aug 2019
Central Similarity Quantization for Efficient Image and Video Retrieval
Central Similarity Quantization for Efficient Image and Video Retrieval
Li-xin Yuan
Tao Wang
Xiaopeng Zhang
Francis E. H. Tay
Zequn Jie
Wei Liu
Jiashi Feng
51
284
0
01 Aug 2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
Erkun Yang
Tongliang Liu
Cheng Deng
Wei Liu
Dacheng Tao
FedML
46
144
0
09 May 2019
Deep Triplet Quantization
Deep Triplet Quantization
Bin Liu
Yue Cao
Mingsheng Long
Jianmin Wang
Jingdong Wang
MQ
39
94
0
01 Feb 2019
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
Maciej Ziȩba
Piotr Semberecki
Tarek El-Gaaly
Tomasz Trzciñski
GAN
118
75
0
18 Jun 2018
End-to-End Supervised Product Quantization for Image Search and
  Retrieval
End-to-End Supervised Product Quantization for Image Search and Retrieval
Benjamin Klein
Lior Wolf
MQ
39
65
0
23 Nov 2017
SUBIC: A supervised, structured binary code for image search
SUBIC: A supervised, structured binary code for image search
Himalaya Jain
J. Zepeda
P. Pérez
Rémi Gribonval
MQ
48
82
0
09 Aug 2017
Binary Generative Adversarial Networks for Image Retrieval
Binary Generative Adversarial Networks for Image Retrieval
Jingkuan Song
GAN
101
192
0
08 Aug 2017
On Sampling Strategies for Neural Network-based Collaborative Filtering
On Sampling Strategies for Neural Network-based Collaborative Filtering
Ting-Li Chen
Yizhou Sun
Yue Shi
Liangjie Hong
33
223
0
23 Jun 2017
Deep Supervised Discrete Hashing
Deep Supervised Discrete Hashing
Qi Li
Zhenan Sun
Ran He
Tieniu Tan
48
298
0
31 May 2017
HashNet: Deep Learning to Hash by Continuation
HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao
Mingsheng Long
Jianmin Wang
Philip S. Yu
58
616
0
02 Feb 2017
Stochastic Generative Hashing
Stochastic Generative Hashing
Bo Dai
Ruiqi Guo
Sanjiv Kumar
Niao He
Le Song
TPM
52
106
0
11 Jan 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
231
8,030
0
13 Aug 2016
A Survey on Learning to Hash
A Survey on Learning to Hash
Jingdong Wang
Ting Zhang
Jingkuan Song
N. Sebe
Heng Tao Shen
89
969
0
01 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
842
149,474
0
22 Dec 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
943
99,991
0
04 Sep 2014
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