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 ...

This repository provides the codebase of SSP-SAM, a referring expression segmentation framework built on top of SAM with semantic-spatial prompts.

Abstract: Open-vocabulary (OV) semantic segmentation enables models to recognize and segment objects from arbitrary natural language descriptions, offering the flexibility to handle novel, ...

PHASE A: Context Assembly → PHASE B: Quality Gate → PHASE C: GNI-First DAG ↓ PHASE E: ARIA Audit + Self-Improvement ← PHASE D: Multi-Agent Execution ...