{"title":"IEEE UV 2022“视觉遇上藻类”目标检测挑战的多模型融合解决方案","authors":"Xiaoxiao Peng, Yueyi Wang, Dayu Chen, Yuchen Tian, Keyu Huang, Jianfeng Zheng","doi":"10.1109/UV56588.2022.10185512","DOIUrl":null,"url":null,"abstract":"This report summarizes the fourth-place solution of the “Vision Meets Algae” object detection challenge held on IEEE UV’2022 focuses on object detection in marine biology images obtained through the microscope. First, we experimented with a large number of backbones and necks to improve mAP by enhancing the model structure. Then, we designed and tested a variety of data augmentation schemes based on algal characteristics from a data perspective. Finally, with multiple models ensembled adopted, our methods achieve 57.579% mAP on the test set.","PeriodicalId":211011,"journal":{"name":"2022 6th International Conference on Universal Village (UV)","volume":"458 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-model Fusion Solution for IEEE UV 2022 “Vision Meets Algae” Object Detection Challenge\",\"authors\":\"Xiaoxiao Peng, Yueyi Wang, Dayu Chen, Yuchen Tian, Keyu Huang, Jianfeng Zheng\",\"doi\":\"10.1109/UV56588.2022.10185512\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This report summarizes the fourth-place solution of the “Vision Meets Algae” object detection challenge held on IEEE UV’2022 focuses on object detection in marine biology images obtained through the microscope. First, we experimented with a large number of backbones and necks to improve mAP by enhancing the model structure. Then, we designed and tested a variety of data augmentation schemes based on algal characteristics from a data perspective. Finally, with multiple models ensembled adopted, our methods achieve 57.579% mAP on the test set.\",\"PeriodicalId\":211011,\"journal\":{\"name\":\"2022 6th International Conference on Universal Village (UV)\",\"volume\":\"458 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 6th International Conference on Universal Village (UV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UV56588.2022.10185512\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th International Conference on Universal Village (UV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UV56588.2022.10185512","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This report summarizes the fourth-place solution of the “Vision Meets Algae” object detection challenge held on IEEE UV’2022 focuses on object detection in marine biology images obtained through the microscope. First, we experimented with a large number of backbones and necks to improve mAP by enhancing the model structure. Then, we designed and tested a variety of data augmentation schemes based on algal characteristics from a data perspective. Finally, with multiple models ensembled adopted, our methods achieve 57.579% mAP on the test set.
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