4 papers · 1 filter
SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
Kaiyu Li, Ruixun Liu, Xiangyong Cao +4
Remote sensing image plays an irreplaceable role in fields such as agriculture, water resources, military, and disaster relief. Pixel-level interpretation is a critical aspect of r…
MV-CC: Mask Enhanced Video Model for Remote Sensing Change Caption
Ruixun Liu, Kaiyu Li, Jiayi Song +2
Remote sensing image change caption (RSICC) aims to provide natural language descriptions for bi-temporal remote sensing images. Since Change Caption (CC) task requires both spatia…
Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis
Haodong Wen, Bodong Du, Ruixun Liu +2
Recently, the optimization of polynomial filters within Spectral Graph Neural Networks (GNNs) has emerged as a prominent research focus. Existing spectral GNNs mainly emphasize pol…
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation
Shihong Wang, Ruixun Liu, Kaiyu Li +2
In Generalized Few-shot Segmentation (GFSS), a model is trained with a large corpus of base class samples and then adapted on limited samples of novel classes. This paper focuses o…