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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Vydané v:	IEEE access Ročník 8; s. 24344 - 24357
Hlavní autori:	Zhai, Sheping, Shang, Dingrong, Wang, Shuhuan, Dong, Susu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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