Summary of Crossvit-augmented Geospatial-intelligence Visualization System For Tracking Economic Development Dynamics, by Yanbing Bai et al.
CrossVIT-augmented Geospatial-Intelligence Visualization System for Tracking Economic Development Dynamics
by Yanbing Bai, Jinhua Su, Bin Qiao, Xiaoran Ma
First submitted to arxiv on: 13 Dec 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Senseconomic system leverages multimodal sensing and distributed computing to improve the timeliness and spatial resolution of economic data, enabling more effective policymaking. Built on the Transformer framework, it integrates remote sensing and street view images using cross-attention, with nighttime light data as weak supervision. The system achieves an R-squared value of 0.8363 in county-level economic predictions and reduces processing time by half to 23 minutes through distributed computing. A user-friendly interface features a Vue3-based front end for visualization on Baidu maps and a Python-based back end automating tasks like image downloads and preprocessing. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Senseconomic is a new system that helps policymakers get the right data at the right time. It uses special cameras and computers to gather information about economies from space and on the ground. The system is fast, accurate, and easy to use, making it perfect for planning resources and making economic decisions. By providing policymakers with better tools, Senseconomic can help make a big difference in people’s lives. |
Keywords
» Artificial intelligence » Cross attention » Transformer
