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Positional encoding in transformers explained clearly

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 ...
IEEE

PH-Mamba: Enhancing Mamba with Position Encoding and Harmonized Attention for Image Deraining and Beyond

Abstract: Mamba and its variants excel at modeling long-range dependencies with linear computational complexity, making them effective for diverse vision tasks. However, Mamba’s reliance on unfolding ...
GitHub

Vision Transformer (ViT) for Image Classification

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 ...
Frontiers

A classification method of underwater target radiated noise signals based on enhanced images and convolutional neural networks

As the economy and society continue to develop, the range of underwater vehicles is expanding and technology is constantly being upgraded. Consequently, it is becoming increasingly difficult to ...
IEEE

SPGFormer: Structure Perception Graph Transformer with Laplacian Position Encoding for Hyperspectral Image Classification

Abstract: With the integration of graph structure representation and self-attention mechanism, graph Transformer demonstrates remarkable effectiveness in hyperspectral image (HSI) classification by ...
Frontiers

Fine-grained image classification using the MogaNet network and a multi-level gating mechanism

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...
TradeWinds

Wavelength podcast: Ammonia a ‘no-brainer’ but LNG supporters answer back

In this episode, host Craig Eason talks to Tristan Smith from University College London’s UCL Energy Institute about an academic paper assessing the costs for shipowners when they opt for new fuels.