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Embarrassingly Simple Binary Representation Learning

Embarrassingly Simple Binary Representation Learning

26 August 2019
Yuming Shen
Jie Qin
Jiaxin Chen
Li Liu
Fan Zhu
ArXivPDFHTML

Papers citing "Embarrassingly Simple Binary Representation Learning"

22 / 22 papers shown
Title
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
298
10,591
0
17 Feb 2020
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
121
75
0
18 Jun 2018
Adversarial Binary Coding for Efficient Person Re-identification
Adversarial Binary Coding for Efficient Person Re-identification
Zheng Liu
Jie Qin
Annan Li
Yunhong Wang
Luc Van Gool
33
31
0
29 Mar 2018
Zero-Shot Sketch-Image Hashing
Zero-Shot Sketch-Image Hashing
Yuming Shen
Li Liu
Fumin Shen
Ling Shao
52
151
0
06 Mar 2018
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
59
82
0
09 Aug 2017
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual
  Cross Retrieval
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval
Yuming Shen
Li Liu
Ling Shao
Jingkuan Song
51
49
0
08 Aug 2017
Binary Generative Adversarial Networks for Image Retrieval
Binary Generative Adversarial Networks for Image Retrieval
Jingkuan Song
GAN
106
192
0
08 Aug 2017
MIHash: Online Hashing with Mutual Information
MIHash: Online Hashing with Mutual Information
Fatih Çakir
Kun He
Sarah Adel Bargal
Stan Sclaroff
45
96
0
27 Mar 2017
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval
Li Liu
Fumin Shen
Yuming Shen
Xianglong Liu
Ling Shao
99
270
0
16 Mar 2017
HashNet: Deep Learning to Hash by Continuation
HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao
Mingsheng Long
Jianmin Wang
Philip S. Yu
72
620
0
02 Feb 2017
Stochastic Generative Hashing
Stochastic Generative Hashing
Bo Dai
Ruiqi Guo
Sanjiv Kumar
Niao He
Le Song
TPM
56
106
0
11 Jan 2017
Deep Variational Information Bottleneck
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
98
1,714
0
01 Dec 2016
Learning Deep Embeddings with Histogram Loss
Learning Deep Embeddings with Histogram Loss
E. Ustinova
Victor Lempitsky
101
351
0
02 Nov 2016
Learning to Hash with Binary Deep Neural Network
Learning to Hash with Binary Deep Neural Network
Thanh-Toan Do
Anh-Dzung Doan
Ngai-Man Cheung
MQ
77
178
0
18 Jul 2016
Zero-Shot Hashing via Transferring Supervised Knowledge
Zero-Shot Hashing via Transferring Supervised Knowledge
Yang Yang
Weilun Chen
Yadan Luo
Fumin Shen
Jie Shao
Heng Tao Shen
54
152
0
16 Jun 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
233
11,145
0
14 Mar 2016
Fast Training of Triplet-based Deep Binary Embedding Networks
Fast Training of Triplet-based Deep Binary Embedding Networks
Bohan Zhuang
Guosheng Lin
Chunhua Shen
Ian Reid
MQ
51
114
0
09 Mar 2016
Simultaneous Feature Learning and Hash Coding with Deep Neural Networks
Simultaneous Feature Learning and Hash Coding with Deep Neural Networks
Hanjiang Lai
Yan Pan
Ye Liu
Shuicheng Yan
44
823
0
14 Apr 2015
Supervised Discrete Hashing
Fumin Shen
Chunhua Shen
Wen Liu
Heng Tao Shen
88
1,102
0
05 Mar 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.3K
100,213
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
VLM
ObjD
1.4K
39,472
0
01 Sep 2014
Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
352
3,125
0
15 Aug 2013
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