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Training Convolutional Neural Networks with Multi-Size Images and Triplet Loss for Remote Sensing Scene Classification

Many remote sensing scene classification algorithms improve their classification accuracy by additional modules, which increases the parameters and computing overhead of the model at the inference stage. In this paper, we explore how to improve the classification accuracy of the model without adding...

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Bibliografiske detaljer
Udgivet i:Sensors (Basel)
Main Authors: Zhang, Jianming, Lu, Chaoquan, Wang, Jin, Yue, Xiao-Guang, Lim, Se-Jung, Al-Makhadmeh, Zafer, Tolba, Amr
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7070623/
https://ncbi.nlm.nih.gov/pubmed/32098092
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20041188
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