跨越偏移的舞蹈：通过动态风格桥接实现前向促进式持续测试时自适应
Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging
用预先生成的类原型配合多层级风格桥接（输入/统计/表征层）替代源域伪标签，为持续测试时自适应提供可靠监督信号，可直接迁移到任何需要在线适应分布偏移的视觉识别流程中。
原文依据 we introduce a novel forward-facilitation paradigm through a method termed Dynamic Style Bridging
摘要译文
由模型翻译 · 术语统一 · 请对照原文核对关键结论持续测试时自适应（CTTA）旨在使感知系统能够应对部署后遇到的动态分布偏移。现有方法大多遵循反向对齐范式，将输入数据 rigidly 对齐到由源域导出的监督替代信号上。因此，它们难以应对不可靠的监督信号与不断演化的分布偏移。为克服这些局限，我们通过一种称为动态风格桥接的方法引入了一种新颖的前向促进范式。在部署之前，我们构建一个由生成的类别样例组成的紧凑知识库。在测试时，为缓解固有的生成偏差并使这些代理适配输入数据，我们提出了一种多层级桥接机制。该机制在输入层、统计层和表征层动态地向代理注入输入数据的风格，同时保留代理的原始语义。这些高保真代理随后被用于提供可靠、按需的监督信号，从而在持续偏移下实现稳定自适应。在标准 CTTA 基准上的大量实验表明，我们的方法相较近期最优方法取得了持续且显著的提升。代码见 https://github.com/z1358/DAS。
英文原文摘要 1306 字符
Continual Test-Time Adaptation (CTTA) aims to empower perception systems to handle dynamic distribution shifts encountered after deployment. Existing methods predominantly follow a backward-alignment paradigm, which rigidly aligns incoming data with supervisory surrogates derived from the source domain. Consequently, they struggle with unreliable supervision and evolving distribution shifts. To overcome these limitations, we introduce a novel forward-facilitation paradigm through a method termed Dynamic Style Bridging. Prior to deployment, we construct a compact knowledge base of generated class exemplars. During test time, to mitigate inherent generative bias and adapt these proxies to incoming data, we propose a multi-level bridging mechanism. This mechanism dynamically injects the proxies with incoming data styles at the input, statistical, and representation levels, while preserving the original semantics of the proxies. These high-fidelity proxies are then used to provide reliable, on-demand supervisory signals, enabling stable adaptation under continual shifts. Extensive experiments across standard CTTA benchmarks demonstrate that our method achieves consistent and substantial improvements over recent state-of-the-art approaches. Code is available at https://github.com/z1358/DAS.