论文标题
查询时间优化基于深度学习的视频推理系统
Query Time Optimized Deep Learning Based Video Inference System
论文作者
论文摘要
这是一个项目报告，讲述了我们如何调整焦点[1]，这是一个视频推理系统，可通过两个阶段提供低成本和低潜伏期。在本报告中，我们将通过保存神经网络的中层输出来减少查询时间。这是一种权衡策略，涉及使用更多空间来节省时间。我们展示了该方案是如何使用原型系统运行的，并且可以节省20％的时间。代码存储库URL在这里，https://github.com/iphyer/cs744 focousingeStopt。
This is a project report about how we tune Focus[1], a video inference system that provides low cost and low latency, through two phases. In this report, we will decrease the query time by saving the middle layer output of the neural network. This is a trade-off strategy that involves using more space to save time. We show how this scheme works using prototype systems, and it saves 20% of the time. The code repository URL is here, https://github.com/iphyer/CS744 FocousIngestOpt.
