Introduces Dynamic Style Bridging for forward-facilitation continual test-time adaptation by multi-level style injection on pre-generated class proxies to provide stable on-demand supervision under evolving distribution shifts.
Memo: Test time robustness via adaptation and augmentation.Ad- vances in Neural Information Processing Systems, 35: 38629–38642, 2022
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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.
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Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging
Introduces Dynamic Style Bridging for forward-facilitation continual test-time adaptation by multi-level style injection on pre-generated class proxies to provide stable on-demand supervision under evolving distribution shifts.
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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.