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Found 3 papers, 1 papers with code
Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation
The proposed framework ROSITA combines these components, enabling continuous online adaptation of Vision Language Models on a single image basis.
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation
This method draws inspiration from target clustering techniques and exploits the source classifier for generating pseudo-source samples.
SATA: Source Anchoring and Target Alignment Network for Continual Test Time Adaptation
Adapting a trained model to perform satisfactorily on continually changing testing domains/environments is an important and challenging task.
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