IEEE

Multiscale Semantic Segmentation of Remote Sensing Images Based on Edge Optimization

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 ...
IEEE

A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation

Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...
GitHub

kav-institute/Semantic_LiDAR_ROS

Read the DATA.md to learn how to configure the demonstration system. The SemanticLiDAR-ROS repo and its network defintion is behind the main branch of SemanticLiDAR ...
GitHub

Persistent context memory for Claude Code with semantic search, embeddings, and auto-capture

🚀 New User? Start with our 3-step Quick Start! Run ./start.sh to validate your setup, then follow 3 simple commands for a working system in 5-10 minutes. See Quick Start below. The Skills System ...