Preserving Silent Features for Domain Generalization

no code implementations • 6 Jan 2024 • Chujie Zhao, Tianren Zhang, Feng Chen

In light of this, we propose a simple yet effective method termed STEP (Silent Feature Preservation) to improve the generalization performance of the self-supervised contrastive learning pre-trained model by alleviating the suppression of silent features during the supervised fine-tuning process.

Contrastive Learning Domain Generalization