Abstract: Using semantic segmentation networks to intelligently categorize remote sensing images (RSIs) is essential for urban planning, land use, and environmental monitoring. However, the complexity ...
When I connect MCP to Semantic Kernel, MCP has a feature called 'progress' which can be used to show the progress of tool execution. Does Semantic Kernel (particularly the Python implementation) ...
Research has focused on Multi-Modal Semantic Segmentation (MMSS), where pixel-wise predictions are derived from multiple visual modalities captured by diverse sensors. Recently, the large vision model ...
Introduction: Weeds compete with crops for water, nutrients, and light, negatively impacting maize yield and quality. To enhance weed identification accuracy and meet the requirements of precision ...
Abstract: Semantic segmentation of remote sensing images is crucial for disaster monitoring, urban planning, and land use. Due to scene complexity and multiscale features of targets, semantic ...
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