Training CLIP models on Data from Scientific Papers
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
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https://service.tib.eu/ldmservice/dataset/78fdab1e-b5c4-4501-be9f-8e900a8c8636
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资源简介：
Contrastive Language-Image Pretraining (CLIP) models are trained with datasets extracted from web crawls, which are of large quantity but limited quality. This paper explores whether limited amounts higher quality data in a specific domain improves the general performance of CLIP models.
提供机构：
TIB
创建时间：
2024-12-02
