Innovative Application of Multimodal Large Model in Image-text Fusion Understanding

With the rapid development of artificial intelligence, multimodal large models have shown great potential and application value in the fusion understanding of image and text. Aiming at this problem, this paper discusses and realizes an innovative multi-modal fusion method. This paper describes the specific model training process and the corresponding experimental equipment in detail by preprocessing various data sets and building a suitable model architecture.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/eiecs63941.2024.10800581
Citations
1
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
0.35
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article

Innovative Application of Multimodal Large Model in Image-text Fusion Understanding

Shu Gong, Cheng Liu, Zebin Wen, Xianbing Zhang
1 citations
Educational Technology and Pedagogy
0.35
article

Innovative Application of Multimodal Large Model in Image-text Fusion Understanding

Shu Gong, Cheng Liu, Zebin Wen, Xianbing Zhang
article en
1 citations

Abstract

With the rapid development of artificial intelligence, multimodal large models have shown great potential and application value in the fusion understanding of image and text. Aiming at this problem, this paper discusses and realizes an innovative multi-modal fusion method. This paper describes the specific model training process and the corresponding experimental equipment in detail by preprocessing various data sets and building a suitable model architecture.

Industry, innovation and infrastructure
Openalex Percentile: Top 30%
Educational Technology and Pedagogy
0.35
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