Summary of Dumapper: Towards Automatic Verification Of Large-scale Pois with Street Views at Baidu Maps, by Miao Fan et al.
DuMapper: Towards Automatic Verification of Large-Scale POIs with Street Views at Baidu Maps
by Miao Fan, Jizhou Huang, Haifeng Wang
First submitted to arxiv on: 27 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Information Retrieval (cs.IR)
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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 A novel system called DuMapper is proposed to automate large-scale point-of-interest (POI) verification in Web mapping services. The system utilizes multimodal street-view data and artificial neural networks (ANNs) to efficiently verify POIs against a massive database. By leveraging signboard images and coordinates, DuMapper generates low-dimensional vectors that enable rapid searches within the database, achieving a 50x increase in throughput. This technology has been deployed in production at Baidu Maps, significantly improving productivity and efficiency. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A new system called DuMapper helps make Web mapping services better by quickly checking if information about places like shops or banks is correct. To do this, it uses pictures of street signs and GPS coordinates to find the right information in a big database. This makes the process much faster and cheaper than having people check every piece of information. |
