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LoMOE: Localized Multi-Object Editing via Multi-Diffusion
Our experiments against existing state-of-the-art methods demonstrate the improved effectiveness of our approach in terms of both image editing quality and inference speed.
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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