Learning Deep Binary Descriptors via Bitwise Interaction Mining

Author:

Wang Ziwei1ORCID,Xiao Han1ORCID,Duan Yueqi2ORCID,Zhou Jie1ORCID,Lu Jiwen1ORCID

Affiliation:

1. Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China

2. Department of Electrical Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Academy of Artificial Intelligence

Tsinghua University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Reference65 articles.

1. A simple framework for contrastive learning of visual representations;chen;Proc Int Conf Mach Learn,2020

2. Disk: Learning local features with policy gradient;tyszkiewicz,2020

3. Deep clustering for unsupervised learning of visual features;caron;Proc Eur Conf Comput Vis,2018

4. Boosting Binary Keypoint Descriptors

5. NUS-WIDE

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