In this chapter, we present a brief overview of the recent development in object detection using convolutional neural networks (CNN). Several classical CNN-based detectors are presented. Some developments are based on the detector architectures, while others are focused on solving certain problems, like model degradation and small-scale object detection. The chapter also presents some performance comparison results of different models on several benchmark datasets. Through the discussion of these models, we hope to give readers a general idea about the developments of CNN-based object detection.
@article{arxiv.1912.01844,
title = {Object Detection with Convolutional Neural Networks},
author = {Kaidong Li and Wenchi Ma and Usman Sajid and Yuanwei Wu and Guanghui Wang},
journal= {arXiv preprint arXiv:1912.01844},
year = {2019}
}