… detection method. Specifically, we propose a trackingassisted object detection architecture
based on edge-cloud … but heavy object detection is conducted by the Cloud on sparse …

… In this paper, we propose an object detection architecture based on edge computing to … the
edge and the cloud. In this paper, we propose an object detection architecture based on edge …

… , deep learning-based object detection (DL-OD) … object detection (OD) system based on
edge-cloud cooperation and reconstructive convolutional neural networks, which is called Edge …

… context-aware object detection method based on edge-cloud cooperation. Specifically, an
object detection model based on deep learning is established in the cloud server. Different …

… object detection pipelines are containerized and deployed on various devices in the cloud
to … This distributed computing approach to an object detection pipeline is the first the authors …

… , the cloud-edge collaborating system proposed in this paper deploys lightweight networks
at the edge to identify the first k of the most probable classifications for each object to choose …

… great relevance to edge cloud applications. Network … object detection and DNN design. In
section 3, we present the proposed elasticized SSD network for object detection in edge cloud …

… Offloading object detection to the edge or cloud is also very … the object detection inference
on the frame at the edge cloud tinf er = T3 −T2, and (3) the time to transmit the detection results …

… To overcome these obstacles for efficient edge-cloud collaboration, we propose a novel
architecture of a deep learning based object detection model, as shown in Figure 3(d). First, the …

… embedded systems and object detection speed in the edge cloud influence the average …
-power embedded systems and object detection speed in the edge cloud according to the input …