AI RESEARCH
AdaLoRA-QAT: Adaptive Low-Rank and Quantization-Aware Segmentation
arXiv CS.AI
•
ArXi:2604.01167v1 Announce Type: cross Chest X-ray (CXR) segmentation is an important step in computer-aided diagnosis, yet deploying large foundation models in clinical settings remains challenging due to computational constraints. We propose AdaLoRA-QAT, a two-stage fine-tuning framework that combines adaptive low-rank encoder adaptation with full quantization-aware