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 ...

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Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the same as "The box was on the cat." Over a long text, like a financial ...

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 ...

Summary: Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task. This ...

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