Vote for your favorite mineral in #MinCup25! - Sanidine vs. Hematite
It's a pair of often-overlooked classics as potassium feldspar sanidine competes with iron ore hematite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Huang, Qinyuan, Zhou, Ying, Yang, Tian, Yang, Kun, Cao, Lijia, Xia, Yan (2023) A Lightweight Transfer Learning Model with Pruned and Distilled YOLOv5s to Identify Arc Magnet Surface Defects. Applied Sciences, 13 (4) 2078 doi:10.3390/app13042078

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA Lightweight Transfer Learning Model with Pruned and Distilled YOLOv5s to Identify Arc Magnet Surface Defects
JournalApplied Sciences
AuthorsHuang, QinyuanAuthor
Zhou, YingAuthor
Yang, TianAuthor
Yang, KunAuthor
Cao, LijiaAuthor
Xia, YanAuthor
Year2023 (February 6)Volume13
Issue4
PublisherMDPI AG
DOIdoi:10.3390/app13042078Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15695551Long-form Identifiermindat:1:5:15695551:7
GUID0
Full ReferenceHuang, Qinyuan, Zhou, Ying, Yang, Tian, Yang, Kun, Cao, Lijia, Xia, Yan (2023) A Lightweight Transfer Learning Model with Pruned and Distilled YOLOv5s to Identify Arc Magnet Surface Defects. Applied Sciences, 13 (4) 2078 doi:10.3390/app13042078
Plain TextHuang, Qinyuan, Zhou, Ying, Yang, Tian, Yang, Kun, Cao, Lijia, Xia, Yan (2023) A Lightweight Transfer Learning Model with Pruned and Distilled YOLOv5s to Identify Arc Magnet Surface Defects. Applied Sciences, 13 (4) 2078 doi:10.3390/app13042078
In(2023, February) Applied Sciences Vol. 13 (4) MDPI AG

See Also

These are possibly similar items as determined by title/reference text matching only.

Tian, Wen, Zhou, Xuefang, Zhang, Ying, Fang, Qin, Yang, Mingjian (2023) Collaborative Allocation Method of En-Route Network Resources Based on Stackelberg Game Model. Applied Sciences, 13 (24) 13292 doi:10.3390/app132413292
Tian, Songlin, Yang, Ying, Yang, Lei (2024) An Inductive Heterogeneous Graph Recommendation Model for High-Scoring Items Applied to Business Intelligence. Applied Sciences, 14 (4) 1601 doi:10.3390/app14041601
Zhou, Zhe-Wei, Yang, Hui-Ya, Xu, Bei-Xiu, Ting, Yu-Hung, Chen, Shia-Chung, Jong, Wen-Ren (2023) Prediction of Short-Shot Defects in Injection Molding by Transfer Learning. Applied Sciences, 13 (23) 12868 doi:10.3390/app132312868
Zhou, Ximeng, Yang, Xinhao, Luo, Songshi (2023) Radish Growth Stage Recognition Based on GAN and Deep Transfer Learning. Applied Sciences, 13 (14) MDPI AG. 8306 doi:10.3390/app13148306
Yang, Jian, Zhou, Yan, Wen, Wanli, Zhou, Jin, Zhang, Qingrui (2023) Asynchronous Hierarchical Federated Learning Based on Bandwidth Allocation and Client Scheduling. Applied Sciences, 13 (20) 11134 doi:10.3390/app132011134
Lei, Yanmin, Pan, Dong, Feng, Zhibin, Qian, Junru (2023) Lightweight YOLOv5s Human Ear Recognition Based on MobileNetV3 and Ghostnet. Applied Sciences, 13 (11) 6667 doi:10.3390/app13116667
Tian, Ximin, Song, Yang (2023) Machine Learning for Short-Term Prediction of Ship Motion Combined with Wave Input. Applied Sciences, 13 (9) 5298 doi:10.3390/app13095298
Zhou, Ziyun, Zhou, Chengjiang, Pan, Anning, Zhang, Fuqing, Dong, Chaoqun, Liu, Xuedong, Zhai, Xiangshuai, Wang, Haitao (2023) A Kitchen Standard Dress Detection Method Based on the YOLOv5s Embedded Model. Applied Sciences, 13 (4) 2213 doi:10.3390/app13042213
Chen, Tie, Li, Hongxin, Cao, Ying, Zhang, Zhifan (2023) Substation Operation Sequence Inference Model Based on Deep Reinforcement Learning. Applied Sciences, 13 (13) 7360 doi:10.3390/app13137360
Xiang, Xinjian, Hu, Haibin, Ding, Yi, Zheng, Yongping, Wu, Shanbao (2023) GC-YOLOv5s: A Lightweight Detector for UAV Road Crack Detection. Applied Sciences, 13 (19) 11030 doi:10.3390/app131911030
Guo, Shiqian, Huang, Yansun, Huang, Baohua, Yang, Linda, Zhou, Cong (2023) CWSXLNet: A Sentiment Analysis Model Based on Chinese Word Segmentation Information Enhancement. Applied Sciences, 13 (6) 4056 doi:10.3390/app13064056
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 7, 2025 12:39:37
Go to top of page