Deep learning for construction waste detection using ConvNeXt V2 EMA attention and WIoU v3 loss
D
Dong Han
(National Synchrotron Radiation Laboratory)
M
Ming Ma
(State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China)
X
Xiao Li
J
Jin Zhu
C
Chunyu Zhao
(Gladstone Institute of Data Science and Biotechnology)
L
Liang Yu
(State Key Laboratory of Catalysis)
Y
Ying Tian
J
Jingnan Chen
(State Key Laboratory of Natural and Biomimetic Drugs, Chemical Biology Center, and Department of Chemical Biology at School of Pharmaceutical Sciences)
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 16, Issue 1
Published
January 28, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (8)
D
Dong Han
National Synchrotron Radiation Laboratory
M
Ming Ma
State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
X
Xiao Li
J
Jin Zhu
C
Chunyu Zhao
Gladstone Institute of Data Science and Biotechnology
L
Liang Yu
State Key Laboratory of Catalysis
Y
Ying Tian
J
Jingnan Chen
State Key Laboratory of Natural and Biomimetic Drugs, Chemical Biology Center, and Department of Chemical Biology at School of Pharmaceutical Sciences
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