Abdulaziz Ali

Combining transformer global and task-relevant local CNN features for retail product recognition

Inspired by human visual perception, where individuals first perceive an object globally and then focus on salient local details, the proposed hybrid CNN-Transformer architecture captures global representations and employs attention maps to refine task-relevant local features.