DF-SSD: An Improved SSD Object Detection Algorithm Based on DenseNet and Feature Fusion

In view of the lack of feature complementarity between the feature layers of Single Shot MultiBox Detector (SSD) and the weak detection ability of SSD for small objects, we propose an improved SSD object detection algorithm based on Dense Convolutional Network (DenseNet) and feature fusion, which is...

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Bibliographic Details
Published in:	IEEE access Vol. 8; pp. 24344 - 24357
Main Authors:	Zhai, Sheping, Shang, Dingrong, Wang, Shuhuan, Dong, Susu
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptation models Algorithms Computer networks Convolution DenseNet Detectors Feature extraction feature fusion Mathematical models multi-scale object detection Object detection Object recognition Parameters Semantics SSD Task analysis
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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