Text-based Person Search (TBPS) aims to retrieve the person images based on the given text descriptions. Due to the heterogeneity between modalities and the fine granularity of the person, it is challenging to address the task. Existing methods often overlook granularity consistency across different color channels, which means there’s much potential to enhance retrieval performance. In this paper, we propose a Dual-Color Granularity Alignment (DCGA) method for Text-Based Person Search. DCGA harnesses both color and grayscale information to add...
