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What is: Attention Feature Filters?

SourceNeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

An attention mechanism for content-based filtering of multi-level features. For example, recurrent features obtained by forward and backward passes of a bidirectional RNN block can be combined using attention feature filters, with unprocessed input features/embeddings as queries and recurrent features as keys/values.