Zheng Zeng

MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration

MED-DSLC is a lightweight solution for MED classification, which is shown to preserve within-domain discrimination while reducing cross-domain logit interference with minimal data, and substantially improves mean accuracy, cross-domain robustness, and scalability in the size of MED classification problem.