IEEE

Spatial–Spectral Transformer With Conditional Position Encoding for Hyperspectral Image Classification

Abstract: In Transformer-based hyperspectral image classification (HSIC), predefined positional encodings (PEs) are crucial for capturing the order of each input token. However, their typical ...
IEEE

DeepTESite: The Prediction of Protein Arginine Methylation Sites using Amino Acids Sequence Symmetric Position Encodings Based on Transformer Encoder

Abstract: Methylation is a type of Post-translational modification, which is closely associated with various diseases. The methylation sites prediction is very important for revealing methylation ...
i-SCOOP

Attention is all you need, the Paper that revolutionized Natural Language Processing

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the Transformer architecture. Learn how self-attention, parallelization, and Q/K/V ...