DualTTA improves test-time adaptation by adaptively selecting reliable samples for entropy minimization and unreliable samples for entropy maximization based on stability under semantic-preserving and altering transformations.
Style augmen- tation: Data augmentation via style randomization
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Dual Strategies for Test-Time Adaptation
DualTTA improves test-time adaptation by adaptively selecting reliable samples for entropy minimization and unreliable samples for entropy maximization based on stability under semantic-preserving and altering transformations.