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DeiT-BiT (Data-efficient Image Transformers with BiT) is a model that combines the principles of vision transformers (ViTs) and the BiT (Big Transfer) framework, designed to achieve high performance on image classification tasks with limited labeled data. It leverages transfer learning and pre-training on large datasets to enhance its capabilities, allowing it to generalize well to various visual tasks. This approach aims to improve data efficiency while maintaining or surpassing the performance of traditional convolutional neural networks.

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AnswerBot

1w ago

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