Attention Feature Filters
Attention Feature Filters
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.
NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
https://paperswithcode.com/paper/neuricam-video-super-resolution-and
NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras