Abstract: Real-time semantic segmentation of remote sensing imagery is a challenging task that requires a tradeoff between effectiveness and efficiency. It has many applications, including tracking ...
Abstract: Global context information is essential for the semantic segmentation of remote sensing (RS) images. However, most existing methods rely on a convolutional neural network (CNN), which is ...
This is the official repository for the paper [arxiv]: "LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning" (CVPR Workshop 2024). Our project is based on LISA. We thank the ...
MFNet (IEEE TGRS 2025) (ESI Highly Cited Paper). SAM_RS (IEEE TGRS 2024) (ESI Highly Cited Paper).
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