3 papers
cs.CV2026
Improving Medical Visual Reinforcement Fine-Tuning via Perception and Reasoning Augmentation
Guangjing Yang, ZhangYuan Yu, Ziyuan Qin +7
While recent advances in Reinforcement Fine-Tuning (RFT) have shown that rule-based reward schemes can enable effective post-training for large language models, their extension to…
cs.CV2025
Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models
Anyang Ji, Qingbo Kang, Wei Xu +3
The emergence of large-scale pre-trained vision foundation models has greatly advanced the medical imaging field through the pre-training and fine-tuning paradigm. However, selecti…
cs.CV2023
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition
Qingbo Kang, Jun Gao, Kang Li +1
Masked autoencoder (MAE) has attracted unprecedented attention and achieves remarkable performance in many vision tasks. It reconstructs random masked image patches (known as proxy…