A New Way To See Life’s Hidden Chemistry: $10 Spectrometer Could Turn Wearables Into Personal Health Labs

Researchers have developed a compact, low-cost convolutional spectrometer that delivers lab-grade precision for applications ...

AI Doesn’t Have A Data Problem; It Has A Context Problem

Many AI initiatives fail not because of poor technology but because organizations lack shared definitions, context and ...

Physicists and AI model Claude collaborate to prove a 10-year-old jamming conjecture

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...
GitHub

Efficient Frequency-Domain Image Deraining with Contrastive Regularization (ECCV2024)

2024/09/25 Update：The code is now open, welcome to ask questions in the issue, we will try our best to solve errors and doubts 2024/09/26 Update: Pre-trained ...
IEEE

LWCDNet: A Lightweight Fully Convolution Network for Change Detection in Optical Remote Sensing Imagery

Abstract: Change detection (CD) is an important task in remote sensing image processing. The main research goal is to identify whether the target area has changed. Recently, the rise of deep learning ...
IEEE

Integrating Prototype Learning With Graph Convolution Network for Effective Active Hyperspectral Image Classification

Abstract: In recent years, active learning (AL) methods have provided a feasible approach to alleviate the problem of limited labeled samples in deep learning projects. Existing AL algorithms ...
Analytics India Magazine

A guide to CoAtNet: The combination of convolution and attention networks

CoAtNets combines convolutional and attention models to enhance performance in deep learning tasks. This hybrid model has demonstrated state-of-the-art results in image classification, particularly on ...