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

SegLLM: Multi-round Reasoning Segmentation

We present SegLLM, a novel multi-round interactive segmentation model that leverages conversational memory of both visual and textual outputs to reason over previously segmented objects and past ...
Microsoft

Unearthing Semantic Checks for Cloud Infrastructure-as-Code Programs

Cloud infrastructures are increasingly managed by Infrastructure-as-Code (IaC) frameworks (e.g., Terraform). IaC frameworks enable cloud users to configure their resources in a declarative manner, ...
Microsoft

Semantic Telemetry

AI has transformed how we interact with technology, moving from traditional graphical interfaces to language-based, collaborative systems. To measure these new human-AI interactions, we developed ...
GitHub

Python SDK for interacting with the Moorcheh Semantic Search API v1. Moorcheh provides ultra-fast, highly accurate vector similarity search and analysis capabilities based on ...

This SDK simplifies the process of creating namespaces, ingesting data (text or vectors), performing searches, and managing your resources via Python. (Note: For more ...