IEEE

Consistent Learning of Sparse Background Features for Infrared Small-Target Labeling

Abstract: Recent years have witnessed many remarkable achievements in infrared small-target (IST) detection based on deep learning (DL). To achieve high performance in real-world applications, DL ...
IEEE

Image Denoising Based on Multi-Stage Cascade Complementary Learning

Abstract: Image denoising is a key component of digital image processing systems. The latest advances in deep learning have led to significant improvements in denoising techniques, particularly ...
GitHub

This project contains a TensorFlow-based Denoising Autoencoder (DAE) to exact model galaxy from observed galaxy images and perform galaxy model subtraction.

Clone this repository to your local machine or cloud service using the following command: To provide a comprehensive overview of the dataset generation process used in your project, it's important to ...
GitHub

Variational autoencoder with Kolmogorov-Arnold Network for spatial domain detection.

Experiments were executed on NVIDIA A40 of 46068MiB memory in linux with torch==2.1.0+cu121, torch_geometric==2.3.1, torch-sparse==0.6.18+pt21cu121, and torchvision==0.16.0+cu121. The stkan is an ...