Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused and practical technical answers.Det ...

This work designs and implements a custom hardware accelerator for single object classification from drone imagery, for surveillance applications. A lightweight attention-based convolutional neural ...

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

Convolutional neural networks (CNNs) have been widely used in hyperspectral image (HSI) classification. However, a shape-fixed convolution kernel cannot extract appropriate spatial-spectral features.

A multi-dimensional spatial image data structure for scientific Python. To facilitate: Multi-scale processing and analysis Registration Resampling Subregion parallel processing Coupling with meshes, ...

This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".