Jingru Zhu
Orcid: 0000-0002-9755-0855
According to our database1,
Jingru Zhu
authored at least 14 papers
between 2020 and 2024.
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Bibliography
2024
The Diverse Mountainous Landslide Dataset (DMLD): A High-Resolution Remote Sensing Landslide Dataset in Diverse Mountainous Regions.
Remote. Sens., June, 2024
Causal Prototype-Inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-Resolution Remote Sensing Imagery.
IEEE Trans. Geosci. Remote. Sens., 2024
Unsupervised Domain Adaptation for Building Extraction of High-Resolution Remote Sensing Imagery Based on Decoupling Style and Semantic Features.
IEEE Trans. Geosci. Remote. Sens., 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
IEEE Trans. Geosci. Remote. Sens., 2022
Deep Reinforcement Learning-Based Adaptive Modulation for Underwater Acoustic Communication with Outdated Channel State Information.
Remote. Sens., 2022
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level context memory.
CoRR, 2022
2021
SMAF-Net: Sharing Multiscale Adversarial Feature for High-Resolution Remote Sensing Imagery Semantic Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2021
Underwater Acoustic Adaptive Modulation with Reinforcement Learning and Channel Prediction.
Proceedings of the WUWNet'21: The 15th International Conference on Underwater Networks & Systems, Shenzhen, Guangdong, China, November 22, 2021
2020
Multi-Scale Spatial and Channel-wise Attention for Improving Object Detection in Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett., 2020