FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations-Reference-Cited by-同舟云学术

FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations

Author:

Tao Chaofan¹^ORCID,Lin Rui¹^ORCID,Chen Quan²^ORCID,Zhang Zhaoyang³,Luo Ping⁴^ORCID,Wong Ngai¹^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong

2. School of Microelectronics, Southern University of Science and Technology, Shenzhen, China

3. Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong

4. Department of Computer Science, The University of Hong Kong, Hong Kong, Hong Kong

Funder

General Research Fund

AI Chip Center for Emerging Smart Systems (ACCESS), Hong Kong, SAR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

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