Object Detection with Convolutional Neural Networks
December 04, 2019 Β· Declared Dead Β· π Deep Learning in Computer Vision
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Authors
Kaidong Li, Wenchi Ma, Usman Sajid, Yuanwei Wu, Guanghui Wang
arXiv ID
1912.01844
Category
cs.CV: Computer Vision
Citations
48
Venue
Deep Learning in Computer Vision
Last Checked
6 months ago
Abstract
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.
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