Switchable Representation Learning Framework with Self-Compatibility
Switchable Representation Learning Framework with Self-Compatibility
Real-world visual search systems involve deployments on multiple platforms with different computing and storage resources. Deploying a unified model that suits the minimal-constrain platforms leads to limited accuracy. It is expected to deploy models with different capacities adapting to the resource constraints, which requires features extracted by these models to …