In deep learning, a vast amount of training data is usually required. However, in practice, we often hit a wall where we ...
Deep transfer learning has emerged as a powerful paradigm in image classification, enabling models to leverage knowledge acquired from large, labelled datasets to perform effectively on new tasks with ...
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