A Neural Network-Based Optimal Tile Size Selection Model for Embedded Vision Applications

2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)(2020)

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摘要
Graph-based programming models for accelerating computer vision applications such as OpenVX have shown the potential to facilitate the expression of high-performance computer vision algorithms on embedded platforms effectively. The motivation behind this graph-based paradigm is to decouple algorithms (vision pipelines and data flow among them) from schedules (runtime) so that exploiting parallelis...
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关键词
Computer vision,Schedules,Runtime,Computational modeling,Neural networks,Pipelines,Predictive models
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