Danfeng Shan

Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation

Deep learning models often suffer from performance degradation in unseen domains, posing a risk for safety-critical applications such as autonomous driving. To tackle this problem, recent studies have leveraged pre-trained Visual Foundation Models (VFMs) to enhance generalization. However, exsiting…