Semantic segmentation of remote sensing imagery plays a pivotal role in extracting precise
information for diverse downstream applications. Recent development of the segment …

Most deep-learning-based vision tasks rely heavily on crowd-labeled data, and a deep
neural network (DNN) is usually impacted by the laborious and time-consuming labeling …

Multimodal remote sensing data, collected from a variety of sensors, provide a
comprehensive and integrated perspective of the Earth's surface. By employing multimodal …

In remote sensing image segmentation tasks, various challenges arise, including difficulties
in recognizing objects due to differences in perspective, difficulty in distinguishing objects …

In this paper, we propose a novel semantic splatting approach based on Gaussian Splatting
to achieve efficient and low-latency. Our method projects the RGB attributes and semantic …