Researchers advance cross-modality smart security with transformer model

Researchers advance cross-modality smart security with transformer model

A research team led by Professor Wang Hongqiang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences proposed a Global-Local Alignment Attention (GLAA) model based on an Asymmetric Siamese Transformer (AST), which markedly enhances the performance of Visible-X-ray cross-modality package re-identification tasks.