Y-network

The Y-network is a type of neural network architecture designed to efficiently process multiple related tasks simultaneously. It features a main backbone network alongside specialized branches (the "Y" shape) that handle specific tasks or features. This structure allows the model to share important information across tasks, improving learning efficiency and performance, especially when tasks are interconnected. Y-networks are commonly used in fields like medical imaging and computer vision, where analyzing complex data from different perspectives or tasks together can lead to more accurate and comprehensive results.