Enhancing Spatial Understanding in Vision-Language Models via Curriculum Learning
The development of Embodied AI urgently necessitates high-fidelity environment modeling enriched with spatial context. However, existing 3D semantic scene understanding methods predominantly focus on isolated instance-level labels or high-dimensional semantic vector embeddings, lacking effective modeling of explicit sp...