Jun 7, 2023 · Abstract:Since real-world machine systems are running in non-stationary environments, Continual Test-Time Adaptation (CTTA) task is proposed ...
Feb 17, 2024 · The proposed visual domain adaptor (ViDA) aims to adapt current domain distribution and maintain the continual domain-shared knowledge in CTTA, while a ...
Recently, existing methods mainly focus on model-based adaptation, which aims to leverage a self-training manner to extract the target domain knowledge. However ...
Mar 27, 2024 · We propose Visual Domain Adapters with high- rank and low-rank embedding spaces to tackle the error accumulation and catastrophic forgetting.
To adapt to the various distribution shifts of each sample in target domains, we further propose a Homeostatic Knowledge Allotment (HKA) strategy, which ...
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ICLR 2024] ViDA: Homeostatic visual domain adapter for continual test time adaptation [PDF] [G-Scholar] [CODE] ... [Tomar et al., Proc. ICLR 2024] Un-mixing ...
Jun 8, 2023 · Since real-world machine systems are running in non-stationary and continually changing environments, Continual Test-Time Adaptation (CTTA) ...
Feb 21, 2024 · ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation Jiaming Liu, Senqiao Yang, Peidong Jia, Ming Lu, Yandong Guo, Wei ...
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation ... Cyclical Compound Domain Test-time Adaptation via Continual Domain-Matching ...