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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Veröffentlicht in:	IEEE access Jg. 8; S. 24344 - 24357
Hauptverfasser:	Zhai, Sheping, Shang, Dingrong, Wang, Shuhuan, Dong, Susu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
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