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MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding

Research article (2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024) · cited 35× · AI/ML
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MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding

Summary

MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding is a scholarly article[1].

Key Facts

  • MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding's instance of is recorded as scholarly article[2].

Related Entities

James M. Rehg

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding. Retrieved May 24, 2026, from https://4ort.xyz/entity/maplm-a-real-world-large-scale-vision-language-benchmark-for-map-and-traffic-scene-understanding
MLA “MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/maplm-a-real-world-large-scale-vision-language-benchmark-for-map-and-traffic-scene-understanding.
BibTeX @misc{4ortxyz_maplm-a-real-world-large-scale-vision-language-benchmark-for-map-and-traffic-scene-understanding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding}}, year = {2026}, url = {https://4ort.xyz/entity/maplm-a-real-world-large-scale-vision-language-benchmark-for-map-and-traffic-scene-understanding}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding — https://4ort.xyz/entity/maplm-a-real-world-large-scale-vision-language-benchmark-for-map-and-traffic-scene-understanding (retrieved 2026-05-24)

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