{"title":"Object Detection Algorithm Based on RFB Module and Attention Mechanism","authors":"志青 王","doi":"10.12677/sea.2023.125067","DOIUrl":null,"url":null,"abstract":"Aiming at the problem of insufficient correlation of feature map extracted by deep convolutional network in object detection algorithm, an improved SSD object detection algorithm based on Re-ceptive Field Block and Coordinate Attention is proposed. The deep feature extraction network ResNet50 is used as the backbone network, and a coordinate attention module is added to the convolutional layer structure to capture the information of direction and location awareness. In","PeriodicalId":69507,"journal":{"name":"软件工程与应用","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"软件工程与应用","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12677/sea.2023.125067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the problem of insufficient correlation of feature map extracted by deep convolutional network in object detection algorithm, an improved SSD object detection algorithm based on Re-ceptive Field Block and Coordinate Attention is proposed. The deep feature extraction network ResNet50 is used as the backbone network, and a coordinate attention module is added to the convolutional layer structure to capture the information of direction and location awareness. In
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