IEEE

Cross-Domain Hyperspectral Image Classification via Mamba–CNN and Knowledge Distillation

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
IEEE

Reconstruction-Enhanced Prototype Network for Hyperspectral Image Open-Set Classification

Abstract: With the gradual maturity of deep learning technology and its extensive application in the field of remote sensing, hyperspectral image (HSI) classification technology has made tremendous ...
GitHub

IGN LiDAR HD Processing Library

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...
Microsoft

Multi-Label Classification for Colon Cancer Using Histopathological Images

Colon cancer classification has a significant guidance value in clinical diagnoses and medical prognoses. The classification of colon cancers with high accuracy is the premise of efficient treatment.
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...