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

Abstract: We introduce Point-LN, a novel lightweight frame-work engineered for efficient 3D point cloud classification. Point-LN integrates essential non-parametric components-such as Farthest Point ...

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 ...

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 ...

Computer vision libraries have changed how AI models classify images. These tools help digital systems understand visual data very well. They allow AI models to spot complex patterns and objects in ...

microCLIP is a lightweight self-training framework that adapts CLIP for fine-grained image classification without requiring labeled data. While CLIP is strong in zero-shot transfer, it primarily ...

1 School of Integrated Circuits, Guangdong University of Technology, Guangzhou, China 2 School of Computer Science, Xi'an University of Technology, Xi'an, China Introduction: The rapid advancement of ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

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 ...