Code and Data Repository for Two-Stage Dynamic Fusion Framework for Multimodal Classification Tasks

This repository provides a new image-text multimodal fusion framework designed for classification tasks. Four online datasets are provided to replicate the results in the paper. The results for MVSA and CrisisMMD datasets are located in the emc_data folder. For other datasets, please refer to the stage2/README.md for instructions.

Authors

Publication Details

Journal
INFORMS journal on computing
Published
2025-05-14
DOI
https://doi.org/10.1287/ijoc.2023.0448.cd
Primary Topic
Speech and dialogue systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Code and Data Repository for Two-Stage Dynamic Fusion Framework for Multimodal Classification Tasks

Ying Chen, Shoumeng Ge
INFORMS journal on computing
Speech and dialogue systems
article

Code and Data Repository for Two-Stage Dynamic Fusion Framework for Multimodal Classification Tasks

Ying Chen, Shoumeng Ge
article en

Abstract

This repository provides a new image-text multimodal fusion framework designed for classification tasks. Four online datasets are provided to replicate the results in the paper. The results for MVSA and CrisisMMD datasets are located in the emc_data folder. For other datasets, please refer to the stage2/README.md for instructions.

INFORMS journal on computing
Openalex Percentile: Top 95%
Speech and dialogue systems
DOISourceOpenAlex
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Code and Data Repository for Two-Stage Dynamic Fusion Framework for Multimodal Classification Tasks — Ying Chen, Shoumeng Ge · INFORMS journal on computing (2025) | TGRS Research Map | TGRS