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In computer vision and machine learning, deep features are the complex patterns (like shapes, textures, or objects) that a model learns as data passes through its layers. Unlike "handcrafted features" (manually designed by humans), deep features are learned automatically during training. Related "Deep Feature" Frameworks URL or file metadata where you first encountered the code
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: A method that fuses manual data with CNN-learned data to improve image retrieval and person re-identification. Deep Feature Reconstruction