Chen Song1, Xu Cheng1, *, Yongxiang Gu1, Beijing Chen1, Zhangjie Fu1
Journal on Artificial Intelligence, Vol.2, No.2, pp. 59-77, 2020, DOI:10.32604/jai.2020.010193
Abstract Object detection is one of the most fundamental, longstanding and significant
problems in the field of computer vision, where detection involves object classification
and location. Compared with the traditional object detection algorithms, deep learning
makes full use of its powerful feature learning capabilities showing better detection
performance. Meanwhile, the emergence of large datasets and tremendous improvement
in computer computing power have also contributed to the vigorous development of this
field. In the paper, many aspects of generic object detection are introduced and
summarized such as traditional object detection algorithms, datasets, evaluation metrics,
detection frameworks based on deep learning and state-of-the-art… More >
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