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: In research contexts like Zero-Shot Learning, feature generators are used to synthesize visual features from semantic descriptions to help models recognize unseen objects.

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: In machine learning pipelines, "feature generation" often refers to using libraries like pandas and scikit-learn to create new variables from raw data, such as calculating time intervals between video uploads. : In research contexts like Zero-Shot Learning, feature