RepVGG-MEM: A Lightweight Model for Garbage Classification Achieving a Balance Between Accuracy and Speed

Qiuxin Si ¹

Sang Ik Han ²

School of Artificial Intelligence and Big Data, Zibo Vocational Institute, Zibo, Shandong, China

School of Smart IT, Semyung University, Jecheon-si, Republic of Korea |

Publication type: Journal Article

Publication date: 2025-02-24

Institute of Electrical and Electronics Engineers (IEEE)

Journal: IEEE Access

scimago Q1

wos Q2

SJR: 0.960

CiteScore: 9.8

Impact factor: 3.4

ISSN: 21693536

DOI: 10.1109/access.2025.3544631

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Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Journal

scimago Q1

wos Q2

SJR

0.960

CiteScore

9.8

Impact factor

3.4

ISSN

21693536 (Print, Electronic)