Segmentation Of Remote Sensing Imagery
12 papers with code • 0 benchmarks • 3 datasets
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Most implemented papers
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models
We developed a pipeline that leverages multiple FMs to facilitate remote sensing image semantic segmentation tasks guided by text prompt, which we denote as Text2Seg.
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints
Furthermore, the boundary loss capitalizes on the distinctive features of SGB by directing the model's attention to the boundary information of the object.