notesum.ai
Published at November 15VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos
cs.CV
cs.AI
Released Date: November 15, 2024
Authors: Weihao Zhong1, Yinhao Xiao1, Minghui Xu2, Xiuzhen Cheng2
Aff.: 1School of Information Science, Guangdong University of Finance and Economics, Guangdong Intelligent Business Engineering Technology Center, Key Laboratory of Collaborative Innovation in Digital Economy, Guangzhou, China.; 2School of Computer Science, Shandong University, Qingdao, China.

| Method | Accuracy | F1 Score | Precision | Recall |
|---|---|---|---|---|
| Hou et al., 2019[19] | 71.89% | 71.29% | 73.88% | 71.89% |
| Medina et al., 2020[20] | 75.58% | 75.50% | 75.92% | 75.58% |
| Choi and Ko, 2021[21] | 78.32% | 78.31% | 78.37% | 78.32% |
| Shang et al., 2021[22] | 74.45% | 74.39% | 74.67% | 74.45% |
| SV-FEND[1] | 81.05% | 81.02% | 81.24% | 81.05% |
| SVRPM[17] | 79.34% | 78.55 % | 79.75% | 78.16% |
| VMID (Ours) | 90.93% | 90.89% | 90.88% | 90.93% |