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Reducing redundancy and improving model efficiency (e.g., in crack segmentation datasets like Crack2181).

Such as distinguishing between normal and pneumonia chest radiographs. Rewrite_22-01-27_b8095833_Patch2.1

Detecting and recognizing text within natural images. Reducing redundancy and improving model efficiency (e

Based on the search results, a is an intermediate representation of data—such as image pixels or text—learned automatically by a deep neural network, typically within its hidden layers, rather than being handcrafted by humans. These features are crucial for tasks like text spotting, computer vision, and crack segmentation. Key Aspects of Deep Features typically within its hidden layers