2024
Deep Companion Learning: Enhancing Generalization Through Historical Consistency
ECCV 2024poster
"We propose Deep Companion Learning (DCL), a novel training method for Deep Neural Networks (DNNs) that enhances generalization by penalizing inconsistent model predictions compared to its historical performance. To achieve this, we train a deep-companion model (DCM), by using previous versions of t…