基于深度学习的目标检测技术综述

Bhagya C, Shyna A
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引用次数: 16

摘要

近年来,深度学习领域得到了无限的发展。随着深度学习领域的发展,目标检测的任务变得更加令人兴奋和具有挑战性。物体检测的重点是检测给定图像中整个物体的存在。基于深度学习的目标检测技术已经显示出直接从数据中学习目标特征的有效性。本文主要对各种基于深度学习的目标检测技术进行了综述。这项工作还集中于提供关于不同目标检测技术所面临的机会和障碍的广泛比较。文章最后指出了这些领域未来研究的黄金领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Overview of Deep Learning Based Object Detection Techniques
Recent years have witnessed a boundless growth in the field of deep learning. With the preferment in the field of deep learning, the task of object detection has become more exciting and challenging. Object detection focuses on detecting the presence of entire objects within a given image. Deep learning based object detection techniques have shown an efficacy to learn the object features directly from the data. The paper mainly focuses on providing a survey on various state-of-the-art deep learning based object detection techniques. The work also concentrates on providing an extensive comparison regarding the opportunities and obstacles faced by different object detection techniques. The paper concludes by identifying the future golden scopes for research in these fields.
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