Which of the following is a key concept behind the "Capsule Network" (CapsNet) architecture?

• A) Reducing the number of network parameters by using shared weights
• B) Using dynamic routing to preserve spatial relationships between features
• C) Enhancing performance through dropout and regularization techniques
• D) Encoding data into a latent space for unsupervised learning