2021
Asymmetric Metric Learning for Knowledge Transfer
CVPR 2021poster
Knowledge transfer from large teacher models to smaller student models has recently been studied for metric learning, focusing on fine-grained classification. In this work, focusing on instance-level image retrieval, we study an asymmetric testing task, where the database is represented by the teach…