Datasets:
Modalities:
Geospatial
Size:
100K<n<1M
ArXiv:
Tags:
visual-place-recognition
multimodal-learning
graph-neural-networks
urban-computing
pedestrian-navigation
day-night-recognition
License:
Update README.md
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README.md
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@@ -435,13 +435,14 @@ We thank all contributors to this dataset. Field data were collected by the rese
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If you use this dataset in your research, please cite:
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```bibtex
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title
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author
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```
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If you use this dataset in your research, please cite:
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```bibtex
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@misc{ou2025mmsvpr,
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title = {MMS-VPR: Multimodal Street-Level Visual Place Recognition Dataset and Benchmark},
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author = {Ou, Yiwei and Ren, Xiaobin and Sun, Ronggui and Gao, Guansong and Zhao, Kaiqi and Manfredini, Manfredo},
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year = {2025},
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eprint = {2505.12254},
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archivePrefix= {arXiv},
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primaryClass = {cs.CV},
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url = {https://arxiv.org/abs/2505.12254}
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}
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```
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