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One Loss for Quantization: Deep Hashing with Discrete Wasserstein
  Distributional Matching

One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching

31 May 2022
Khoa D. Doan
Peng Yang
Ping Li
    MQ
ArXivPDFHTML

Papers citing "One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching"

4 / 4 papers shown
Title
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
Xu Yuan
Zheng-Wei Zhang
Xunguang Wang
Lin Wu
AAML
19
11
0
23 Oct 2023
A Lower Bound of Hash Codes' Performance
A Lower Bound of Hash Codes' Performance
Xiaosu Zhu
Jingkuan Song
Yu Lei
Lianli Gao
Hengtao Shen
25
2
0
12 Oct 2022
One Loss for All: Deep Hashing with a Single Cosine Similarity based
  Learning Objective
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
Jiun Tian Hoe
KamWoh Ng
Tianyu Zhang
Chee Seng Chan
Yi-Zhe Song
Tao Xiang
MQ
22
109
0
29 Sep 2021
Supervised Discrete Hashing
Fumin Shen
Chunhua Shen
W. Liu
Heng Tao Shen
45
1,101
0
05 Mar 2015
1