Geng Sun

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


According to our database1, Geng Sun authored at least 16 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

2024
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery.
CoRR, 2024

2023
Road Extraction from High-Resolution Remote Sensing Images via Local and Global Context Reasoning.
Remote. Sens., September, 2023

Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery.
Remote. Sens., March, 2023

Unsupervised Domain Adaptation Semantic Segmentation of High-Resolution Remote Sensing Imagery With Invariant Domain-Level Prototype Memory.
IEEE Trans. Geosci. Remote. Sens., 2023

Memory-Contrastive Unsupervised Domain Adaptation for Building Extraction of High-Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Unsupervised Domain Adaptation for Semantic Segmentation of High-Resolution Remote Sensing Imagery Driven by Category-Certainty Attention.
IEEE Trans. Geosci. Remote. Sens., 2022

Multiscale Object Contrastive Learning-Derived Few-Shot Object Detection in VHR Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022

Improving Few-Shot Remote Sensing Scene Classification With Class Name Semantics.
IEEE Trans. Geosci. Remote. Sens., 2022

Remote Sensing Mapping of Build-Up Land with Noisy Label via Fault-Tolerant Learning.
Remote. Sens., 2022

Improving Building Extraction by Using Knowledge Distillation to Reduce the Impact of Label Noise.
Remote. Sens., 2022

Message-Passing-Driven Triplet Representation for Geo-Object Relational Inference in HRSI.
IEEE Geosci. Remote. Sens. Lett., 2022

Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level context memory.
CoRR, 2022

2021
FODA: Building Change Detection in High-Resolution Remote Sensing Images Based on Feature-Output Space Dual-Alignment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Strengthen the Feature Distinguishability of Geo-Object Details in the Semantic Segmentation of High-Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

SMAF-Net: Sharing Multiscale Adversarial Feature for High-Resolution Remote Sensing Imagery Semantic Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2021

2020
SPMF-Net: Weakly Supervised Building Segmentation by Combining Superpixel Pooling and Multi-Scale Feature Fusion.
Remote. Sens., 2020


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