Dingjun Song

Orcid: 0000-0002-1050-4486

According to our database1, Dingjun Song authored at least 7 papers between 2021 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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
Robust Deep Neural Networks for Road Extraction From Remote Sensing Images.
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


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