DynamicConv

2000년 도입 · 논문 11편에서 사용

DynamicConv is a type of convolution for sequential modelling where it has kernels that vary over time as a learned function of the individual time steps. It builds upon LightConv and takes the same form but uses a time-step dependent kernel: $$ \text{DynamicConv}\left(X, i, c\right) = \text{LightConv}\left(X, f\left(X\_{i}\right)\_{h,:}, i, c\right) $$

출처: Pay Less Attention with Lightweight and Dynamic Convolutions

소개 논문: Pay Less Attention with Lightweight and Dynamic Convolutions