Efficient memory reuse methodology for CNN-based real-time image processing in mobile-embedded systems

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Towards the design of vision-based intelligent vehicle system: methodologies and challenges

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Lane detection in intelligent vehicle system using optimal 2- tier deep convolutional neural network

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Vector Symbolic Architectures as a Computing Framework for Emerging Hardware

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Memory-efficient deep learning inference with incremental weight loading and data layout reorganization on edge systems

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Bringing AI to edge: From deep learning’s perspective

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Improving Memory Utilization in Convolutional Neural Network Accelerators

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Optimizing CNN-based Segmentation with Deeply Customized Convolutional and Deconvolutional Architectures on FPGA

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