{"title":"An Improved Object Detection Algorithm Based on M2Det","authors":"Tao Zhang, Linwei Li","doi":"10.1109/ICAICA50127.2020.9181938","DOIUrl":null,"url":null,"abstract":"This paper proposes an improved target detection algorithm based on M2Det, which improves the way to construct feature pyramids in M2Det, and improves the detection accuracy on the Apple dataset by stacking MLFPN modules. The experimental results prove that the two-layer MLFPN module achieves the best performance. Compared with the original M2Det model, mAP@0.5 and mAP@0.75 have improved by 11.8 and 10.5, respectively.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICA50127.2020.9181938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper proposes an improved target detection algorithm based on M2Det, which improves the way to construct feature pyramids in M2Det, and improves the detection accuracy on the Apple dataset by stacking MLFPN modules. The experimental results prove that the two-layer MLFPN module achieves the best performance. Compared with the original M2Det model, mAP@0.5 and mAP@0.75 have improved by 11.8 and 10.5, respectively.
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