For the lower-level features, they are firstly downsampled to make their sizes consistent, and then associated with the current-level features after extracting their association weights by spatial attention; for the higher-level features, they are firstly upsampled by bilinear interpolation to make ...
The attention mechanism has become an important concept in the field of neural networks. It is an advanced algorithm for multitasking, which is widely used to improve the interpretation of neural networks, and helps to overcome some challenges in RNN, such as performance degradation with the ...