GitHub

Convolutional Neural Networks on Manifolds with Python.md

Convolutional Neural Networks (CNNs) have revolutionized image processing tasks, but their application to non-Euclidean domains like manifolds presents unique challenges. This presentation explores ...
GitHub

ImageNet Classification with Deep Convolutional Neural Networks in Python.md

Slide 1: Understanding ImageNet Classification with Deep Convolutional Neural Networks ImageNet classification is a fundamental task in computer vision that involves categorizing images into ...
IEEE

Deformable Convolution-Enhanced Hierarchical Transformer With Spectral-Spatial Cluster Attention for Hyperspectral Image Classification

Abstract: Vision Transformer (ViT), known for capturing non-local features, is an effective tool for hyperspectral image classification (HSIC). However, ViT’s multi-head self-attention (MHSA) ...
IEEE

Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising

Abstract: Hyperspectral image (HSI) denoising is critical for the effective analysis and interpretation of hyperspectral data. However, simultaneously modeling global and local features is rarely ...