AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
GeoFeatureGS is proposed, a block-consistent 3D Gaussian semantic feature learning method for large-scale geographic scenes, enabling scene understanding and semantic segmentation of geographic scenes with lower computational resource consumption in large-scale scenes.
Large-scale 3D surface reconstruction from aerial imagery is fundamental to geospatial mapping and urban modeling. Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated considerable potential for this task. However, existing methods still face three major challenges in large and complex scenes: scene partit...
HDSMNet is proposed, a dual-branch multimodal semantic segmentation network designed for optical–nDSM data that enhances discriminative dense feature representations in high-resolution remote sensing images through interaction with a compact set of geometry-guided anchors.
VDGS introduces visibility-driven statistics for scene anchors to quantify supervision strength and is leveraged for scene partitioning and for gradient compensation in under-optimized regions, thereby promoting balanced optimization across different regions.
Structured building vectorization from high-resolution remote-sensing imagery provides essential geometric representations for urban mapping, digital twin construction, and geographic information systems (GIS). However, existing structured reconstruction approaches may still suffer from incomplete vertex localization,...
The proposed GSSP-KAN is an efficient semantic segmentation network that integrates Kansformer with grouped separable sparse convolution, while the Grouped Separable Sparse Convolution Block (GSSP_Block) reduces redundant self-attention computation and preserves fine-grained local geometric structures.
SceneBench is introduced, a benchmark of 966 photorealistic 3D scenes reconstructed with Gaussian Splatting and densely annotated with hierarchical semantics spanning scenes, rooms, functional areas, object groups, and individual objects that provides a realistic testbed for developing and evaluating models capable of...
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