Generative Data Free Model Quantization With Knowledge Matching for Classification-Reference-Cited by-同舟云学术

Generative Data Free Model Quantization With Knowledge Matching for Classification

Published:2023-12 Issue:12 Volume:33 Page:7296-7309
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Xu Shoukai¹^ORCID,Zhang Shuhai¹^ORCID,Liu Jing²^ORCID,Zhuang Bohan²^ORCID,Wang Yaowei³^ORCID,Tan Mingkui⁴^ORCID

Affiliation:

1. School of Software Engineering, South China University of Technology, Guangzhou, China

2. Faculty of Information Technology, Monash University, Clayton, VIC, Australia

3. Peng Cheng Laboratory, Shenzhen, China

4. School of Software Engineering, and the Key Laboratory of Big Data and Intelligent Robot, Ministry of Education, South China University of Technology, Guangzhou, China

Funder

Key Realm Research and Development Program of Guangzhou

Key-Area Research and Development Program Guangdong Province

National Natural Science Foundation of China

Program for Guangdong Introducing Innovative and Enterpreneurial Teams

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10348119/10132082.pdf?arnumber=10132082

Reference74 articles.

1. Generative Low-Bitwidth Data Free Quantization

2. Human Skeleton Feature Optimizer and Adaptive Structure Enhancement Graph Convolution Network for Action Recognition

3. AGPN: Action Granularity Pyramid Network for Video Action Recognition

4. Scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution

5. High-Quality R-CNN Object Detection Using Multi-Path Detection Calibration Network

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