Multimodal-guided self-distillation for unified person search.
This work proposes a novel Multimodal-Guided Self-Distillation (MGSD) method for Unified Person Search that leverages multimodal textual descriptions and self-distillation to enhance pedestrian representation learning, and introduces three key innovations.