Lv, Zhongliang https://orcid.org/0000-0002-2702-8471
Xia, Kewen
Lu, Zhengyu
Zhao, Zhiqiang
Zuo, Hailun
Dai, Zhou
Xu, Youwei
Funding for this research was provided by:
Chongqing Talents Program Innovation and Entrepreneurship Demonstration Team (Grant No. CSTC2021ycjh-bgzxm0346)
National Natural Science Foundation of China (Grant No. 51705053)
Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJZD-M202201501)
Chongqing Research Program of Basic Research and Frontier Technology (Grant No. CSTB2022nscq-LZX0052)
Innovation Program for Master Students of Chongqing University of Science and Technology (Grant No. YKJCX2120317)
Article Title: FLCNet: faster and lighter cross-scale feature aggregation network for lead bar surface defect detection
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2024 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2023-11-13
Date Accepted: 2024-03-06
Online publication date: 2024-03-13