分布式深度学习与梯度压缩用于大遥感图像解释

概括

通过中心体 (GCC) 进行梯度压缩的分布式背景学习可以在资源有限的边缘设备上更快地进行超谱目标检测 (HTD). 这种方法显著减少了通信开销,同时保持了远程传感应用的高精度.

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Reducing Line Loss

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Depth Perception and Spatial Vision

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