Semi-Supervised Domain Generalization in Real World:New Benchmark and
Strong Baseline
Semi-Supervised Domain Generalization in Real World:New Benchmark and
Strong Baseline
Conventional domain generalization aims to learn domain invariant representation from multiple domains, which requires accurate annotations. In realistic application scenarios, however, it is too cumbersome or even infeasible to collect and annotate the large mass of data. Yet, web data provides a free lunch to access a huge amount of …