4 papers
Decomposed Vision-Language Alignment for Fine-Grained Open-Vocabulary Segmentation
Chenhao Wang, Yingrui Ji, Yu Meng +1
Open-vocabulary segmentation models often struggle to generalize to unseen combinations of object categories and attributes, because fine-grained descriptions are typically encoded…
VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel
Suzhong Fu, Rui Sun, Xuan Ding +8
Accurate vessel segmentation is critical for clinical applications such as disease diagnosis and surgical planning, yet remains challenging due to thin, branching structures and lo…
RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing
Chenhao Wang, Yingrui Ji, Yu Meng +2
Out-of-distribution (OOD) detection represents a critical challenge in remote sensing applications, where reliable identification of novel or anomalous patterns is essential for au…
SOPSeg: Prompt-based Small Object Instance Segmentation in Remote Sensing Imagery
Chenhao Wang, Yingrui Ji, Yu Meng +2
Extracting small objects from remote sensing imagery plays a vital role in various applications, including urban planning, environmental monitoring, and disaster management. While…