目标检测与图像分类研究进展综述

Athira Mv, D. M. Khan
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引用次数: 9

摘要

在过去的几年里,目标检测领域的算法和技术得到了巨大的发展。深度学习的到来促进了系统准确性和性能的提高。本文简要介绍了迄今为止在图像分类和目标检测领域开展的几项工作,并对不同方法进行了相关研究。调查分为三个子领域:基于机器学习的方法,基于深度学习的方法和夜视应用的目标检测。并给出了与所讨论作品的对比表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent Trends on Object Detection and Image Classification: A Review
The area, object detection has seen a drastic development of algorithms and techniques over the past years. The arrival of deep learning has boosted the improvement in accuracy and performance of systems. This paper is a brief survey of several works developed so far in the field of image classification and object detection and a relative study of different methods. Survey is divided in three sub areas as Machine Learning based approach, Deep Learning based approach and object detection for night vision applications. A comparative table with the discussed works is also given.
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