{"title":"基于掩膜 R-CNN 的液-液系统液滴检测。第 3 部分:与图像质量无关的精确处理性能模型泛化","authors":"Stepan Sibirtsev, Song Zhai, Andreas Jupke","doi":"10.1016/j.cherd.2023.12.005","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":9846,"journal":{"name":"Chemical Engineering Research and Design","volume":"75 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mask R-CNN based droplet detection in liquid-liquid systems. Part 3: Model generalization for accurate processing performance independent of image quality\",\"authors\":\"Stepan Sibirtsev, Song Zhai, Andreas Jupke\",\"doi\":\"10.1016/j.cherd.2023.12.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":9846,\"journal\":{\"name\":\"Chemical Engineering Research and Design\",\"volume\":\"75 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemical Engineering Research and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cherd.2023.12.005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Engineering Research and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.cherd.2023.12.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mask R-CNN based droplet detection in liquid-liquid systems. Part 3: Model generalization for accurate processing performance independent of image quality