Cascade Network

Cascade networks are multi-stage architectures designed to improve performance by sequentially processing information through interconnected modules. Current research focuses on applications ranging from medical image segmentation (using U-Net variations and attention mechanisms) to zero-shot learning (employing class-specified branches) and analyzing network vulnerabilities (via Bayesian optimization). These networks demonstrate improved accuracy and efficiency across diverse tasks, impacting fields like healthcare through enhanced medical image analysis and improving our understanding of complex systems like power grids and neural networks.