ProtoSSL: Self-Supervised Pretraining and Downstream Transfer for Projection-Based Prototype Models

In domains where both predictive performance and interpretability are essential, deep neural networks achieve strong results but provide limited insight into how their predictions are made. Projection-based prototype networks address this limitation by grounding predictions in similarity to represen