5 papers
RefAerial: A Benchmark and Approach for Referring Detection in Aerial Images
Guyue Hu, Hao Song, Yuxing Tong +5
Referring detection refers to locate the target referred by natural languages, which has recently attracted growing research interests. However, existing datasets are limited to gr…
Bidirectional Uncertainty-Aware Region Learning for Semi-Supervised Medical Image Segmentation
Shiwei Zhou, Xin Liu, Haifeng Zhao +2
In semi-supervised medical image segmentation, the poor quality of unlabeled data and the uncertainty in the model's predictions lead to models that inevitably produce erroneous ps…
Fully Automated SAM for Single-source Domain Generalization in Medical Image Segmentation
Huanli Zhuo, Leilei Ma, Haifeng Zhao +3
Although SAM-based single-source domain generalization models for medical image segmentation can mitigate the impact of domain shift on the model in cross-domain scenarios, these m…
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning
LeiLei Ma, Shuo Xu, MingKun Xie +3
Modeling label correlations has always played a pivotal role in multi-label image classification (MLC), attracting significant attention from researchers. However, recent studies h…
Bridging Vision and Language: Optimal Transport-Driven Radiology Report Generation via LLMs
Haifeng Zhao, Yufei Zhang, Leilei Ma +2
Radiology report generation represents a significant application within medical AI, and has achieved impressive results. Concurrently, large language models (LLMs) have demonstrate…