2026
Generalizable Knowledge Distillation from Vision Foundation Models for Semantic Segmentation
CVPR 2026
Knowledge distillation (KD) has been widely applied in semantic segmentation to compress large models, but conventional approaches primarily preserve in-domain accuracy while neglecting out-of-domain generalization, which is essential under distribution shifts. This limitation becomes more severe wi