Semantically Compatible Knowledge Distillation for Cross-Domain Object Detection with Vision Foundation Models
The Semantic Localization-Enhanced Teacher (SLE-T), a semantically compatible knowledge-distillation framework built around a lightweight SLE Adapter for DINOv2, achieves state-of-the-art performance and ablation studies confirm the importance of teacher-student semantic compatibility.