: The network runs expensive computations only on occasional "key frames".
: This drastically reduces the processing power needed compared to evaluating every single frame. 599969851945-3433534529321(1).mp4
: Detect simple structures like edges, corners, or textures. : The network runs expensive computations only on
Understand how these features are used in or security video analysis? Deep Feature Flow for Video Recognition - GitHub 599969851945-3433534529321(1).mp4
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