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UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition
April 24, 2024, 4:45 a.m. | Bin Wang, Zhuangcheng Gu, Chao Xu, Bo Zhang, Botian Shi, Conghui He
cs.CV updates on arXiv.org arxiv.org
Abstract: This paper presents the UniMER dataset to provide the first study on Mathematical Expression Recognition (MER) towards complex real-world scenarios. The UniMER dataset consists of a large-scale training set UniMER-1M offering an unprecedented scale and diversity with one million training instances and a meticulously designed test set UniMER-Test that reflects a diverse range of formula distributions prevalent in real-world scenarios. Therefore, the UniMER dataset enables the training of a robust and high-accuracy MER model and …
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