Lw-Count: An Effective Lightweight Encoding-Decoding Crowd Counting Network-Reference-Cited by-同舟云学术

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Lw-Count: An Effective Lightweight Encoding-Decoding Crowd Counting Network

Published:2022-10 Issue:10 Volume:32 Page:6821-6834
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:

Liu Yanbo¹^ORCID,Cao Guo¹^ORCID,Shi Hao¹,Hu Yingxiang²^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. School of Computer Science and Engineering, Shandong University of Science and Technology, Shandong, China

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9910246/09765482.pdf?arnumber=9765482

Reference74 articles.

1. Instance normalization: The missing ingredient for fast stylization;ulyanov;arXiv 1607 08022,2016

2. Layer normalization;ba;arXiv 1607 06450,2016

3. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;Proc 32nd Int Conf Mach Learn,2015

4. Distribution matching for crowd counting;wang;Proc Adv Neural Inf Process Syst,2020

5. Group Normalization

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