Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning
Visual retrieval system faces frequent model update and deployment. It is a heavy workload to re-extract features of the whole database every time. Feature compatibility enables the learned new visual features to be directly compared with the old features stored in the database. In this way, when updating the deployed …