ST-CenterNet: Small Target Detection Algorithm with Adaptive Data Enhancement

General target detection with deep learning has made tremendous strides in the past few years. However, small target detection sometimes is associated with insufficient sample size and difficulty in extracting complete feature information. For safety during autonomous driving, remote signs and pedes...

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Bibliographic Details
Published in:	Entropy (Basel, Switzerland) Vol. 25; no. 3; p. 509
Main Authors:	Guo, Yujie, Lu, Xu
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 16.03.2023 MDPI
Subjects:	Adaptive algorithms Adaptive control adaptive data enhancement Algorithms Alliances Datasets Deep learning Feature extraction Frames per second Machine learning Methods Modules Neural networks Pedestrians Safety helmets selective oversampling Semantics Sensors small target detection Target acquisition Target detection Visual discrimination China adaptive data enhancement deep learning selective oversampling small target detection
ISSN:	1099-4300, 1099-4300
Online Access:	Get full text
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