IEEE

Exploiting Complex-Valued Representations in Automatic Modulation Recognition: A Framework Integrating a Transformer With Relative Positional Encoding and Separable Convolution

Abstract: Automatic modulation recognition plays a critical role in military applications, particularly in electronic warfare, spectrum surveillance, and secure communication systems. The precise ...

Ambarella Launches Powerful Edge AI 8K Vision SoC With Industry-Leading AI and Multi-Sensor Perception Performance

That high AI performance is powered by Ambarella’s proprietary, third-generation CVflow ® AI accelerator, with more than 2.5x ...
Learn With Jay on MSN

Transformer encoder architecture explained simply

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
GitHub

Zero-Training Context Extension for Transformer Encoders via Nonlinear Absolute Positional Embeddings Interpolation

Official implementation of "Zero-Training Context Extension for Transformer Encoders via Nonlinear Absolute Positional Embeddings Interpolation". Paper preprint is coming soon. This implementation ...
GitHub

ritwikrohan/Transformer-based-Surgical-Tool-Segmentation

Clone this repository using these command in jupyter notebook: git clone https://github.com/ritwikrohan7/ML_project_601.675_Abhay_Bhupendra_Ritwik.git %cd ML_project ...
IEEE

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies

Abstract: UWB TDoA localization accuracy degrades in industrial non-line-of-sight (NLOS) environments, where traditional methods of excluding NLOS links are often infeasible and degrade geometric ...