WebApr 3, 2024 · To overcome these challenges, we present a Multi-grained Multi-modal Fusion Network (MMFN) for fake news detection. Inspired by the multi-grained process of human assessment of news authenticity, we respectively employ two Transformer-based pre-trained models to encode token-level features from text and images. The multi-modal … WebDec 28, 2024 · The Mutual-enhancement module concurrently enhances RGB and frequency features by communicating in the shared spatial dimension. The progressive enhancement process facilitates the learning of discriminative features with fine-grained face forgery clues. Extensive experiments on several datasets show that our method outperforms the …

Exploiting Fine-grained Face Forgery Clues via Progressive

WebSep 13, 2024 · The detection of fake news often requires sophisticated reasoning skills, such as logically combining information by considering word-level subtle clues. In this … WebAbstract. The detection of fake news often requires sophisticated reasoning skills, such as logically combining information by considering word-level subtle clues. In this paper, we … stork delivering baby pictures

更细粒度的不实信息检测 FineFact：Towards Fine-Grained …

WebSocial media platforms are the ideal “home” for fake news for several reasons [24]: 1. The cost of entry is low. It is practically “free” for sources of fake news content to enter social … WebThe detection of fake news often requires sophisticated reasoning skills, such as logically combining information by considering word-level subtle clues. In this paper, we move towards fine-grained reasoning for fake news detection by better reflecting the logical processes of human thinking and enabling the modeling of subtle clues. In particular, we … WebJun 1, 2024 · Towards Fine-Grained Reasoning for Fake News Detection. 提出了一个细粒度的推理框架 FinerFact ，通过遵循人类的信息处理模型，引入了一种基于相互强化的方法 … rosewood rc club