Learnable Central Similarity Quantization for Efficient Image and Video Retrieval-Reference-Cited by-同舟云学术

Learnable Central Similarity Quantization for Efficient Image and Video Retrieval

Published:2023 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Yuan Li¹^ORCID,Wang Tao²^ORCID,Zhang Xiaopeng³^ORCID,Tay Francis Eng Hock²,Jie Zequn⁴^ORCID,Tian Yonghong¹^ORCID,Liu Wei⁵^ORCID,Feng Jiashi⁶^ORCID

Affiliation:

1. Shenzhen Graduate School, School of Electronic and Computer Engineering, Peking University, Shenzhen, China

2. Department of Electrical and Computer Engineering (ECE) and the Department of Mechanical Engineering (ME), National University of Singapore, Singapore, Singapore

3. Huawei Cloud, Shanghai, China

4. Visual Center, Meituan, China

5. Tencent Data Platform, Shenzhen, China

6. Bytedance, Singapore, Singapore

Funder

National Natural Science Foundation of China

China Computer Federation (CCF)-Tencent Open Research Fund

Shenzhen Basic Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10355913.pdf?arnumber=10355913

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