IEEE

CLIP2RS: Leveraging Pretrained Vision-Language Model for Semantic Segmentation of Remote Sensing Images

Abstract: Semantic segmentation of remote sensing (RS) images is a very challenging task due to the complicated characteristics such as diversity, complexity, and massiveness. Current research ...
GitHub

openai_responses_agent.py

# This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. from openai.types.responses.computer_tool_param import ComputerToolParam from ...
GitHub

Multi-platform point cloud analysis — registration, segmentation, surface reconstruction, and feature extraction for aerial, terrestrial, and UAV LiDAR.

Point cloud tooling in Python is fragmented. laspy reads files. Open3D visualizes them. PDAL pipelines transform them. But nothing treats acquisition platform as a first-class concept — and platform ...
IEEE

AMPUNet: Hierarchical Attention Map Pyramid for Semantic Segmentation of Remote Sensing Images

Abstract: Accurate semantic segmentation of high-resolution remote sensing imagery is essential for applications ranging from urban planning to environmental monitoring. However, this task remains ...