7 papers
Ran Score: a LLM-based Evaluation Score for Radiology Report Generation
Ran Zhang, Yucong Lin, Zhaoli Su +13
Chest X-ray report generation and automated evaluation are limited by poor recognition of low-prevalence abnormalities and inadequate handling of clinically important language, inc…
Scale-Aware Relay and Scale-Adaptive Loss for Tiny Object Detection in Aerial Images
Jinfu Li, Yuqi Huang, Hong Song +5
Recently, despite the remarkable advancements in object detection, modern detectors still struggle to detect tiny objects in aerial images. One key reason is that tiny objects carr…
Sculpting Margin Penalty: Intra-Task Adapter Merging and Classifier Calibration for Few-Shot Class-Incremental Learning
Liang Bai, Hong Song, Jinfu Li +6
Real-world applications often face data privacy constraints and high acquisition costs, making the assumption of sufficient training data in incremental tasks unrealistic and leadi…
MoCTEFuse: Illumination-Gated Mixture of Chiral Transformer Experts for Multi-Level Infrared and Visible Image Fusion
Li Jinfu, Song Hong, Xia Jianghan +5
While illumination changes inevitably affect the quality of infrared and visible image fusion, many outstanding methods still ignore this factor and directly merge the information…
MetaFE-DE: Learning Meta Feature Embedding for Depth Estimation from Monocular Endoscopic Images
Dawei Lu, Deqiang Xiao, Danni Ai +7
Depth estimation from monocular endoscopic images presents significant challenges due to the complexity of endoscopic surgery, such as irregular shapes of human soft tissues, as we…
Double-Shot 3D Shape Measurement with a Dual-Branch Network for Structured Light Projection Profilometry
Mingyang Lei, Jingfan Fan, Long Shao +6
The structured light (SL)-based three-dimensional (3D) measurement techniques with deep learning have been widely studied to improve measurement efficiency, among which fringe proj…