Jian Peng
Orcid: 0000-0002-1820-4015Affiliations:
- Central South University, School of Geosciences and Info-Physics, Changsha, China
According to our database1,
Jian Peng
authored at least 33 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Adaptive Multiscale Slimming Network Learning for Remote Sensing Image Feature Extraction.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
Continual Learning for Remote Sensing Image Scene Classification With Prompt Learning.
IEEE Geosci. Remote. Sens. Lett., 2023
2022
Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation.
IEEE Trans. Neural Networks Learn. Syst., 2022
Better Memorization, Better Recall: A Lifelong Learning Framework for Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
Contextual Information-Preserved Architecture Learning for Remote-Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
A Class-Incremental Detection Method of Remote Sensing Images Based on Selective Distillation.
Symmetry, 2022
Symmetry, 2022
EFCNet: Ensemble Full Convolutional Network for Semantic Segmentation of High-Resolution Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022
Asymmetric Collaborative Network: Transferable Lifelong Learning for Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
An Empirical Study of Adversarial Examples on Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2021
SMAPGAN: Generative Adversarial Network-Based Semisupervised Styled Map Tile Generation Method.
IEEE Trans. Geosci. Remote. Sens., 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Scene Complexity: A New Perspective on Understanding the Scene Semantics of Remote Sensing and Designing Image-Adaptive Convolutional Neural Networks.
Remote. Sens., 2021
A Multiple Subspaces-Based Model: Interpreting Urban Functional Regions with Big Geospatial Data.
ISPRS Int. J. Geo Inf., 2021
CoRR, 2021
2020
Automatic Changes Detection between Outdated Building Maps and New VHR Images Based on Pre-Trained Fully Convolutional Feature Maps.
Sensors, 2020
Sensors, 2020
RSI-CB: A Large-Scale Remote Sensing Image Classification Benchmark Using Crowdsourced Data.
Sensors, 2020
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images.
CoRR, 2020
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification.
CoRR, 2020
Attack Selectivity of Adversarial Examples in Remote Sensing Image Scene Classification.
IEEE Access, 2020
Memory Protection Generative Adversarial Network (MPGAN): A Framework to Overcome the Forgetting of GANs Using Parameter Regularization Methods.
IEEE Access, 2020
2018
CoRR, 2018
2017
On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition.
CoRR, 2017
What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?
CoRR, 2017
2016
CoRR, 2016