Data · dataset · 2026
Multi-Modal Fusion Prompter Model
Listed in ScienceDB
This dataset contains the PyTorch source code of the MFPM model proposed in the paper "Research on Missing Modal Completion and Dual Branch Dynamic Fusion Sentiment Analysis Model Based on Hint Learning", as well as the raw output results and chart drawing data of all experiments.
Description
The experiment covers four benchmark datasets: CMU-MOSI, CMU-MOSEI, IEMOCAP, and CH-SIMS, including comparative experiments, ablation experiments, robustness testing (with a loss rate of 5%~95%), generalization experiments, and detailed indicators of sensitivity analysis (ACC, F1, MAE, Corr, etc.) in 64 scenarios of complete modality, single modality loss, and bimodal loss.
The data is stored in Excel format for easy reproduction of paper charts and conclusions.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00133.00697 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00133.00697 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |