Distillation Learning of Affinity Matrices for Pedestrian Re-identification

This paper proposes a novel approach for pedestrian re-identification using 'distillation learning' of affinity matrices. The method leverages knowledge transfer from a teacher model to a student model, resulting in improved performance.