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

Abstract: Graph transformer networks have received more attention in hyperspectral image (HSI) classification. However, they overlooked the influence of graph connectivity strength in positional ...

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...

人工智能领域的位置编码技术迎来重大突破。由多所顶尖高校联合研发的GRAPE（Group Representational Position Encoding）框架，成功将主流的旋转位置编码（RoPE）与线性偏差编码（ALiBi）等方案整合进统一数学体系，为Transformer架构的位置信息处理开辟了新路径。

That high AI performance is powered by Ambarella’s proprietary, third-generation CVflow ® AI accelerator, with more than 2.5x AI performance over the previous-generation CV5 SoC. This allows the CV7 ...

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 ...