We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Multi-Scale Boxes Loss for Object Detection in Smart Energy.
- Authors
Zhiyong Dai; Jianjun Yi; Yajun Zhang; Liang He
- Abstract
The rapid development of Internet of Things (IoT) technologies has boosted smart energy networks in recent years. However, power line surveillance systems still suffer from the low accuracy and efficiency of the power line area recognition and risk objects detection. This paper proposes a new customized loss function to tackle the disequilibrium of the size of objects on multi-scale feature maps in the deep learning-based detectors. To validate the new concept and improve the efficiency, we also presented a new object detection model. Experimental results are provided to exhibit the advantage of our proposed method in both accuracy and efficiency.
- Subjects
ELECTRIC lines; INTERNET of things; COST functions; BOXES; DEEP learning
- Publication
Intelligent Automation & Soft Computing, 2020, Vol 26, Issue 5, p887
- ISSN
1079-8587
- Publication type
Article
- DOI
10.32604/iasc.2020.010122