New Convolution Module Boosts Neural Networks' Ability to Extract Key Features
A new type of convolutional neural network has been designed to better extract important features from data. This network uses a special module called Reticulated Convolution Module, which refines and combines features in a unique way. The researchers tested this new network on different datasets and found that it performs very well, showing excellent results.