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GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods

Research article (2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023) · cited 14× · AI/ML
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GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods

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GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods is a scholarly article[1].

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  • GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/givl-improving-geographical-inclusivity-of-vision-language-models-with-pre-training-methods
MLA “GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/givl-improving-geographical-inclusivity-of-vision-language-models-with-pre-training-methods.
BibTeX @misc{4ortxyz_givl-improving-geographical-inclusivity-of-vision-language-models-with-pre-training-methods_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods}}, year = {2026}, url = {https://4ort.xyz/entity/givl-improving-geographical-inclusivity-of-vision-language-models-with-pre-training-methods}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods — https://4ort.xyz/entity/givl-improving-geographical-inclusivity-of-vision-language-models-with-pre-training-methods (retrieved 2026-05-24)

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