Research map / Vision-language and multimodal / Cross-modal learning
Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion (AAAI 2024 · similarity 0.84)
- Physics Unrolled Neural Operator for Wireless Field Modeling (NeurIPS 2026 · similarity 0.81)
- CroCoDL: Cross-device Collaborative Dataset for Localization (CVPR 2025 · similarity 0.80)
- Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction (ICLR 2025 · similarity 0.80)
- CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework (CVPR 2025 · similarity 0.80)
- Think Before You Drive: World Model-Inspired Multimodal Grounding (CVPR 2026 · similarity 0.80)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.