Dingjun Song
Orcid: 0000-0002-1050-4486
According to our database1,
Dingjun Song
authored at least 7 papers
between 2021 and 2022.
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Bibliography
2022
Exploring Label Probability Sequence to Robustly Learn Deep Convolutional Neural Networks for Road Extraction With Noisy Datasets.
IEEE Trans. Geosci. Remote. Sens., 2022
An improved categorical cross entropy for remote sensing image classification based on noisy labels.
Expert Syst. Appl., 2022
Corrigendum to "Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction" [Int. J. Appl. Earth Observ. Geoinf. 104 (2021) 102544].
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
IEEE Trans. Geosci. Remote. Sens., 2021
LR-RoadNet: A long-range context-aware neural network for road extraction via high-resolution remote sensing images.
IET Image Process., 2021
Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021