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Learning Mobile CNN Feature Extraction Toward Fast Computation of Visual Object Tracking
To solve this problem, we use MobileNetV3, which is a CNN for mobile terminals. Based on Feature Map Selection Tracking, we propose a new architecture that extracts effective features of MobileNet for object tracking.
CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks
The type of physical information acquired using wireless sensing can be estimated by checking wheth\-er the reconstructed image captures the desired physical space information.
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks
To prevent the cliff effect subject to channel quality fluctuation, we have proposed soft point cloud delivery called HoloCast.
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