ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations

Author:

Xiao Congxi1ORCID,Zhou Jingbo2ORCID,Xiao Yixiong2ORCID,Huang Jizhou3ORCID,Xiong Hui4ORCID

Affiliation:

1. School of Computer Science and Technology, University of Science and Technology of China, Hefei, China

2. Business Intelligence Lab, Baidu Research, Beijing, China

3. Baidu Inc., Beijing, China

4. Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou) & Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Guangzhou-HKUST(GZ) Joint Funding Program

National Key Research and Development Program of China

Publisher

ACM

Reference67 articles.

1. Interpretable socioeconomic status inference from aerial imagery through urban patterns;Abitbol Jacob Levy;NMI,2020

2. Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023).

3. Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs

4. Pasquale Balsebre, Weiming Huang, Gao Cong, and Yi Li. 2023. City Foundation Models for Learning General Purpose Representations from OpenStreetMap. arXiv preprint arXiv:2310.00583 (2023).

5. Hangbo Bao, Li Dong, Songhao Piao, and Furu Wei. 2021. Beit: Bert pre-training of image transformers. arXiv preprint arXiv:2106.08254 (2021).

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