: Combine simple shapes into abstract concepts, such as a wheel or a flower petal.
💡 : Deep features are the "building blocks" of a machine's understanding, moving from raw pixels to meaningful concepts like "car" or "person". 599969851945-3433534529321(1).mp4
: The network runs expensive computations only on occasional "key frames". : Combine simple shapes into abstract concepts, such
: Detect simple structures like edges, corners, or textures. 599969851945-3433534529321(1).mp4
: This drastically reduces the processing power needed compared to evaluating every single frame.
: It uses a lightweight "flow field" to pass those feature maps to subsequent frames.
Understand how these features are used in or security video analysis? Deep Feature Flow for Video Recognition - GitHub