Unsupervised Hashing with Contrastive Learning by Exploiting Similarity Knowledge and Hidden Structure of Data

Author:

Song Zhenpeng1ORCID,Su Qinliang1ORCID,Chen Jiayang1ORCID

Affiliation:

1. Sun Yat-sen University, Guangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

ACM

Reference45 articles.

1. Yuki M. Asano , Christian Rupprecht , and Andrea Vedaldi . 2020 . Self-labelling via simultaneous clustering and representation learning . In International Conference on Learning Representations. Yuki M. Asano, Christian Rupprecht, and Andrea Vedaldi. 2020. Self-labelling via simultaneous clustering and representation learning. In International Conference on Learning Representations.

2. Yoshua Bengio , Nicholas Léonard , and Aaron Courville . 2013. Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432 ( 2013 ). Yoshua Bengio, Nicholas Léonard, and Aaron Courville. 2013. Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432 (2013).

3. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International Conference on Machine Learning. 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International Conference on Machine Learning. 1597--1607.

4. NUS-WIDE

5. Randaugment: Practical automated data augmentation with a reduced search space

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