2 papers
cs.CV2023
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks
Hamed Behzadi-Khormouji, José Oramas
With the continue development of Convolutional Neural Networks (CNNs), there is a growing concern regarding representations that they encode internally. Analyzing these internal re…
cs.LG2023
Towards the Characterization of Representations Learned via Capsule-based Network Architectures
Saja Tawalbeh, José Oramas
Capsule Networks (CapsNets) have been re-introduced as a more compact and interpretable alternative to standard deep neural networks. While recent efforts have proved their compres…