Multi-Models from Computer Vision to Natural Language Processing for Cheapfakes Detection
Author:
Affiliation:
1. University of Science, VNU-HCM Viet Nam National University,Ho Chi Minh City,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221939/10221894/10221989.pdf?arnumber=10221989
Reference17 articles.
1. Detecting Out-of-Context Multimodal Misinformation with interpretable neuralsymbolic model;zhang;ArXiv e-prints,2023
2. Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation
3. Universal Sentence Encoder for English
4. SBERT-WK: A Sentence Embedding Method by Dissecting BERT-Based Word Models
5. A Textual-Visual-Entailment-based Unsupervised Algorithm for Cheapfake Detection
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Hybrid Approach for Cheapfake Detection Using Reputation Checking and End-To-End Network;Proceedings of the 1st Workshop on Security-Centric Strategies for Combating Information Disorder;2024-07
2. A Unified Network for Detecting Out-Of-Context Information Using Generative Synthetic Data;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30
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