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07/31/2023
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models
Deep neural networks (DNNs) have achieved tremendous success in many rem...
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12/19/2022
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends
Recent advances in artificial intelligence (AI) have significantly inten...
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11/15/2022
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Recent years have witnessed the great success of deep learning algorithm...
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08/08/2022
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks
The synthesis of high-resolution remote sensing images based on text des...
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06/01/2022
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
This study introduces Landslide4Sense, a reference benchmark for landsli...
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02/14/2022
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
Deep neural networks have achieved great success in many important remot...
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02/08/2022
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations
Deep learning algorithms have obtained great success in semantic segment...
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12/15/2021
Self-Ensembling GAN for Cross-Domain Semantic Segmentation
Deep neural networks (DNNs) have greatly contributed to the performance ...
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04/08/2021
Robust Self-Ensembling Network for Hyperspectral Image Classification
Recent research has shown the great potential of deep learning algorithm...
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04/05/2019