Deep Neural Networks for Object Detection
Deep Neural Networks for Object Detection
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DOI：
10.54097/hset.v17i.2576
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
Jiahao You
中科院分区：
文献类型：
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作者：
Jiahao You
目标检测是图像和视频领域中最基本、最具挑战性的任务之一。计算机视觉任务的研究越来越受到关注，例如：目标分类、目标监测等。本文提供了一个文献综述，总结了目标检测的详细算法和应用场景。分析和总结了当前目标检测领域的最新研究成果，并归纳了相关的数据集和评价指标，在此基础上总结了当前目标检测领域的研究问题，并讨论了目标检测领域未来的研究挑战。未来可能的研究方向。
Object detection is one of the most basic and challenging tasks in image and video domains. The research on computer vision tasks is getting more and more attention, such as some tasks: object classification, object monitoring, etc. This paper provides a literature review that summarizes the detailed algorithms and application scenarios for object detection. Analysing and summarizing the latest research results in the current Object detection field, and summarize the relevant data sets and evaluation indicators, and based on this, summarize the current research problems in the Object detection field, and discuss the future research challenges in the Object detection field. possible future research directions.