LangSeg integrates Large Language Models with vision systems to dramatically improve semantic segmentation across different domains.

• Creates rich semantic descriptors through LLM-driven text generation
• Bridges the gap between visual perception and linguistic understanding
• Enhances generalization to diverse scenes and previously unseen object categories
• Demonstrates engineering innovation at the intersection of vision and language

This research advances engineering capabilities for autonomous systems, robotics, and computer vision applications that require precise pixel-level understanding of complex environments.

Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation