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arXiv · 1905.01614

A Review of Object Detection Models based on Convolutional Neural Network

F. Sultana·A. Sufian·P. Dutta
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Abstract

Convolutional Neural Network (CNN) has become the state-of-the-art for object detection in image task. In this chapter, we have explained different state-of-the-art CNN based object detection models. We have made this review with categorization those detection models according to two different approaches: two-stage approach and one-stage approach. Through this chapter, it has shown advancements in object detection models from R-CNN to latest RefineDet. It has also discussed the model description and training details of each model. Here, we have also drawn a comparison among those models.

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BibTeXRIS

F. Sultana, A. Sufian, P. Dutta. 2019-05-05. A Review of Object Detection Models based on Convolutional Neural Network. https://doi.org/10.1007/978-981-15-4288-6_1

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