Introducing Intermediate Domains for Effective Self-Training during Test-Time

Understand

Experiencing domain shifts during test-time is nearly inevitable in practice and likely results in a severe performance degradation.

• To overcome this issue, test-time adaptation continues to update the initial source model during deployment.
• A promising direction are methods based on self-training which have been shown to be well suited for gradual domain adaptation, since reliable pseudo-labels can be provided.
• In this work, we address two problems that exist when applying self-training in the setting of test-time adaptation.