Jian Peng

Orcid: 0000-0002-1820-4015

Affiliations:
  • Central South University, School of Geosciences and Info-Physics, Changsha, China


According to our database1, Jian Peng authored at least 31 papers between 2016 and 2023.

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

Timeline

Legend:

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Bibliography

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

MFS: A Brain-Inspired Memory Formation System for GAN.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A Class-Incremental Detection Method of Remote Sensing Images Based on Selective Distillation.
Symmetry, 2022

RAISE: Rank-Aware Incremental Learning for Remote Sensing Object Detection.
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

Adversarial Examples for CNN-Based SAR Image Classification: An Experience Study.
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

Overcome Anterograde Forgetting with Cycled Memory Networks.
CoRR, 2021

Reviewing continual learning from the perspective of human-level intelligence.
CoRR, 2021

Learning by Active Forgetting for Neural Networks.
CoRR, 2021

2020
Automatic Changes Detection between Outdated Building Maps and New VHR Images Based on Pre-Trained Fully Convolutional Feature Maps.
Sensors, 2020

CLRS: Continual Learning Benchmark for Remote Sensing Image Scene Classification.
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

S<sup>2</sup>OMGAN: Shortcut from Remote Sensing Images to Online Maps.
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

2019
Understanding the Importance of Single Directions via Representative Substitution.
CoRR, 2019

2018
Overcoming Catastrophic Forgetting by Soft Parameter Pruning.
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
Queue Theory based Response Time Analyses for Geo-Information Processing Chain.
CoRR, 2016


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