: The network runs expensive computations only on occasional "key frames".

: Because these features represent "knowledge," they can often be repurposed for different but related tasks. Deep Feature Flow (DFF)

A is a high-level data representation learned by the intermediate layers of a deep neural network . Unlike "handcrafted" features designed by humans (like color or texture), these are automatically optimized during training to recognize complex hierarchical patterns. Core Characteristics

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In video analysis, Deep Feature Flow is a specific technique used to speed up object detection and recognition.