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GitHub

A self-supervised clustering method combining adversarial autoencoders with cross-attention-based graph convolutional networks (GCN) for cell type identification in scRNA-seq ...

The code runs under Python 3.9.20 and Pytorch 2.3.1+cu121. Create a PyTorch environment and install required packages, such as "numpy", "pandas", "scikit-learn ...
GitHub

Synonymous Variational Inference for Perceptual Image Compression

This paper proposes Synonymous Variational Inference, a novel variational inference that first theoretically explains the core reason for the divergence term’s ...
IEEE

A Classifier Adaptation and Adversarial Learning Joint Framework for Cross-Scene Coastal Wetland Mapping on Hyperspectral Imagery

Abstract: Coastal wetlands play a crucial role in maintaining global ecological security and biodiversity. Hyperspectral image (HSI), with its rich spectral information and high spatial resolution, ...
IEEE

Cloud Adversarial Example Generation for Remote Sensing Image Classification

Abstract: Most existing adversarial attack methods for remote sensing images merely add adversarial perturbations or patches, resulting in visually unnatural modifications. Clouds are common ...