IEEE

Ablation Study to Derive a Computationally Efficient Deep Learning-Based Super-Resolution Approach

Abstract: Recent research on single-image super-resolution (SR) shows that deep learning-based methods outperform state-of-the-art techniques but at the cost of increased memory consumption and ...
GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
IEEE

Hybrid Deep Learning for Hyperspectral Single-Image Super-Resolution

Abstract: Hyperspectral single-image super-resolution (SISR) remains a challenging task due to the difficulty of restoring fine spatial details and preserving spectral fidelity across a wide range of ...
CIO

The self-creating SuperNet

Humanoid robots are a dead end; the real breakthrough is a self-improving SuperNet that manufactures itself — and everything ...
Frontiers

A study on the impact of project-based learning on students’ learning motivation in animation programs

1 Guangzhou Academy of Fine Arts, School of Visual Arts Design, Guangzhou, China 2 The Innovation School of Great Bay Area, Guangzhou Academy of Fine Arts, Guangzhou, China Project-based learning (PBL ...
Science Daily

This AI finds simple rules where humans see only chaos

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact ...