2025
Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval
CVPR 2025poster
Asymmetric retrieval is a typical scenario in real-world retrieval systems, where compatible models of varying capacities are deployed on platforms with different resource configurations. Existing methods generally train pre-defined networks or subnetworks with capacities specifically designed for p…