.png){kind=icon}
返回
Towards efficient and robust intelligent mobile vision system via small object aware parallel offloading
.png){kind=icon}
PRE
AI
DOI：10.1016/j.sysarc.2022.102595.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
As mobile devices continuously generate streams of images and videos, intelligent mobile vision applications are rapidly emerging. An ideal object detection system for mobile vision applications should be accurate and real-time. Nevertheless, it is non-trivial to achieve these goals utilizing resource-constrained mobile devices. In this work, we propose an efficient and robust intelligent mobile vision system AREdge via small object aware parallel offloading. We find that the detection performance of small objects is a core factor that affects detection accuracy. To tackle this, we design a local lightweight DNN model that runs on mobile devices to detect big objects fast and identify the regions of interest (RoIs) that may have small objects. These areas are then cropped and offloaded to multiple edge servers for more accurate detection based on complex and large-scale DNN models. To further improve the performance, we propose a dynamic area-aware parallel offloading scheme for fine-grained parallel execution on multiple edge servers. Experimental results show that the accuracy of AREdge is 214.27% higher than that of the local detection in small objects. It also reduces the detection latency by 20.68% on average over the offloading method based on full images and well-used object detection models.
Keyword:
Edge computing
Mobile computing
Object detection
Parallel offloading
期刊
IF:
4.1
论文数:
3.0K
被引数:
4.2K
机构
引用论文
.png){kind=icon}
Principal features of the mating system of a large spawning aggregation of the giant Australian cuttlefish Sepia apama (Mollusca: Cephalopoda)大型澳大利亚墨鱼乌贼棕褐色 (软体动物: 头足类) 的大型产卵聚集的交配系统的主要特征
PREAI
分享收藏X-ray investigation of the coordination and complex formation of lanthanoid ions in aqueous perchlorate and selenate solutions高氯酸盐和硒酸水溶液中镧系离子的配位和络合物形成的x射线研究
PREAI
分享收藏 没有更多内容
没有更多内容