Advances, Systems and Applications
Parameters | Description |
---|---|
r | reduction rate |
F | Feature graph |
N | Amount of channels |
W0, W1 | Layers of the MLP |
Mc | Sigmoid function |
V | Convolution kernel |
U | Output vector of the convolution kernel |
* | Convolution operation |
S | Nonlinear interactions amongst the channels |
Zc | Compressed feature graph |
conv | Convolution layer |
| An activation function for convolution |
| Attention network |
| Sigmoid function |