Spark Challenge: Multimodal Classifier for Space Target Recognition

I. Lahouli, M. Jarraya, G. Aversano
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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.
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星火挑战:空间目标识别的多模态分类器
在本文中,我们提出了一个多模态框架,通过使用RGB和深度图像对卫星进行分类来解决SPARK挑战。我们的框架主要基于自动编码器(AE),将这两种模式嵌入到一个共同的潜在空间中,以利用两种类型数据之间的冗余和互补信息。
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Localizing Features with Masking for Satellite and Debris Classification Spark Challenge: Multimodal Classifier for Space Target Recognition Spacecraft Recognition Leveraging Knowledge of Space Environment: Simulator, Dataset, Competition Design and Analysis Special Session Organizers ICIPC 2021 Cover Page
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