Multi-Grid Redundant Bounding Box Annotation for Accurate Object Detection

Solomon Negussie Tesema,El-Bay Bourennane

2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)（2021）

引用 1|浏览5

暂无评分

摘要

Modern leading object detectors are either two-stage or one-stage networks repurposed from a deep CNN-based backbone classifier network. YOLOv3 is one such very-well known state-of-the-art one-shot detector that takes in an input image and divides it into an equal-sized grid matrix. The grid cell having the center of an object is the one responsible for detecting the particular object. This paper ...

查看译文

关键词

Training,Image segmentation,Annotations,Object detection,Detectors,Big Data,Object tracking

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要