Abstract: The emergence of the Intelligent Internet of Things (IIoT) has brought data processing closer to data sources, especially for real-time processing of surveillance video and image analysis.

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

Abstract: Transformers are emerging as a powerful alternative to convolutional neural networks (CNNs) for hyperspectral image (HSI) classification. However, most existing approaches either neglect the ...

Satellite image classification is an important and challenging task in the modern technological age. Satellites can capture images of danger-prone areas with very little effort. However, the size and ...

This project implements Vision Transformer (ViT) for image classification. Unlike CNNs, ViT splits images into patches and processes them as sequences using transformer architecture. It includes patch ...

Instead of using RoPE’s low-dimensional limited rotations or ALiBi’s 1D linear bias, FEG builds position encoding on a higher-dimensional geometric structure. The idea is simple at a high level: Treat ...

After seizing the summer with a blitz of powerful, freely available new open source language and coding focused AI models that matched or in some cases bested closed ...

The Chicago Cubs have had a terrific first half of the season ahead of the dog days of summer and have set themselves up to be a prime championship contender. Though things have not been quite as ...