{"title":"Spark Challenge: Multimodal Classifier for Space Target Recognition","authors":"I. Lahouli, M. Jarraya, G. Aversano","doi":"10.1109/ICIPC53495.2021.9620183","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a multi-modal framework to tackle the SPARK Challenge by classifying satellites using RGB and depth images. Our framework is mainly based on Auto-Encoders (AE)s to embed the two modalities in a common latent space in order to exploit redundant and complementary information between the two types of data.","PeriodicalId":246438,"journal":{"name":"2021 IEEE International Conference on Image Processing Challenges (ICIPC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Image Processing Challenges (ICIPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIPC53495.2021.9620183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we propose a multi-modal framework to tackle the SPARK Challenge by classifying satellites using RGB and depth images. Our framework is mainly based on Auto-Encoders (AE)s to embed the two modalities in a common latent space in order to exploit redundant and complementary information between the two types of data.