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City Foundation Models for Learning General Purpose Representations from
  OpenStreetMap

City Foundation Models for Learning General Purpose Representations from OpenStreetMap

1 October 2023
Pasquale Balsebre
Weiming Huang
Gao Cong
Yi Li
    AI4CE
ArXivPDFHTML

Papers citing "City Foundation Models for Learning General Purpose Representations from OpenStreetMap"

5 / 5 papers shown
Title
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
Nemin Wu
Qian Cao
Zhangyu Wang
Zeping Liu
Yanlin Qi
...
Stefano Ermon
T. Ganu
A. Nambi
Ni Lao
Gengchen Mai
61
15
0
21 Jun 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
15
0
30 Jan 2024
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity
  Representation
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation
Zekun Li
Jina Kim
Yao-Yi Chiang
Muhao Chen
73
27
0
21 Oct 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
390
4,124
0
28 Jan 2022
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
1