IEEE

An Attention Architecture With Twice Attention Convolution and Simplified Transformer for Hyperspectral Image Classification

Abstract: Convolutional neural network (CNN) and transformer-based hybrid models have been successfully applied to hyperspectral image (HSI) classification, enhancing the local feature extraction ...
TechCrunch

Snapchat’s new Lens lets you create AI images using text prompts

Snapchat is launching a new Lens that lets users create and edit images using a text-to-image AI generator, the company told TechCrunch exclusively. The new “Imagine Lens” is available to Snapchat+ ...
Semiconductor Engineering

Using AI For Fault Detection And Classification In Manufacturing

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...
IEEE

Efficient Evolutionary Neural Architecture Search Using Reliable Fitness Evaluations for Image Classification

Abstract: Neural Architecture Search (NAS) has gained considerable attention for automating the design of Deep Neural Networks (DNNs) and reducing human effort. However, most NAS algorithms require ...
GitHub

Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...
GitHub

Bittensor Subnet for Image Classification and Object Detection

This documentation assumes basic familiarity with Bittensor concepts. For an introduction, please check out the docs: https://docs.bittensor.com/learn/bittensor ...