Capsule Networks are advanced neural networks that utilize groups of neurons called capsules to recognize complex patterns and spatial hierarchies in data. Unlike traditional models, they preserve spatial relationships, improving understanding of object orientation and pose. This enhances performance in tasks like image recognition, enabling more accurate and robust interpretation of visual information, especially when objects vary in position and perspective.