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Trent Tolley

Trent Tolley

On-Device Machine Learning, Product Manager
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    Efficient Heterogeneous Video Segmentation at the Edge
    Jamie Lin
    Siargey Pisarchyk
    David Cong Tian
    Tingbo Hou
    Sixth Workshop on Computer Vision for AR/VR (CV4ARVR) (2022)
    Preview abstract We introduce an efficient video segmentation system for resource-limited edge devices leveraging heterogeneous compute. Specifically, we design network models by searching across multiple dimensions of specifications for the neural architectures and operations on top of already light-weight backbones, targeting commercially available edge inference engines. We further analyze and optimize the heterogeneous data flows in our systems across the CPU, the GPU and the NPU. Our approach has empirically factored well into our real-time AR system, enabling remarkably higher accuracy with quadrupled effective resolutions, yet at much shorter end-to-end latency, much higher frame rate, and even lower power consumption on edge platforms. View details
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