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Abstract: Transfer learning (TL) leverages pre-existing knowledge to enhance performance and is widely applied in offline scenarios. In online settings, Test Time Adaptation (TTA), as a subset of TL, ...
Our framework consists of two main pipelines: (1) Test-Time Augmentation: Given an input image and text prompt, we apply various transformations to create multiple augmented versions. VLM processes ...
Abstract: This tutorial explores the class of non-parametric time series basis decomposition methods particularly suited for nonstationary time series known as Empirical Mode Decomposition (EMD). In ...