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CgAT: Center-Guided Adversarial Training for Deep Hashing-Based
  Retrieval

CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval

18 April 2022
Xunguang Wang
Yinqun Lin
Xuelong Li
    AAML
    GAN
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Papers citing "CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval"

3 / 3 papers shown
Title
One Loss for Quantization: Deep Hashing with Discrete Wasserstein
  Distributional Matching
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching
Khoa D. Doan
Peng Yang
Ping Li
MQ
28
37
0
31 May 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
40
110
0
29 Sep 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
309
3,115
0
04 Nov 2016
1