Navigating the Code World: The Cutting Edge and Applications of Python in Machine Learning

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

WorldQuant University Launches Deep Learning Fundamentals Lab, a Free, Hands-On AI Credential

WorldQuant University (WQU) has launched the Deep Learning Fundamentals Lab, a free, 16-week online certificate program ...
GitHub

yc-cui/Deep-Learning-Spatiotemporal-Fusion-Survey

This repository contains a collection of deep learning models for remote sensing spatiotemporal fusion. It includes sections on relevant survey papers, various deep learning model categories, and ...
GitHub

STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification (CVPR 2025)

Overall framework of STiL. STiL encodes image-tabular data using $\phi$, decomposes modality-shared and -specific information through DCC $\psi$ (a), and outputs ...
IEEE

Deep Metric Learning Based on Brownian Covariance Representation for Few-Shot Hyperspectral Image Classification

Abstract: Currently, few-shot learning (FSL) is widely used in image classification hyperspectral image classification (HSIC), owing to its exceptional proficiency in achieving good performance with ...
IEEE

HyperEDL: Spectral-Spatial Evidence Deep Learning for Cross-Scene Hyperspectral Image Classification

Abstract: Cross-scene hyperspectral image (HSI) classification presents significant challenges due to domain shifts, which amplify epistemic uncertainty and lead to substantial performance drops in ...