Cross-modal learning is essential to enable accurate fake news detection due to the fast-growing multimodal contents in online social communities.
Apr 25, 2022 · Cross-modal learning is essential to enable accurate fake news de- tection due to the fast-growing multimodal contents in online social.
Feb 25, 2023 · To address that, we propose COOLANT, a cross-modal contrastive learning framework for multimodal fake news detection, aiming to achieve more ...
This is the code for the paper "Cross-modal Ambiguity Learning for Multimodal Fake News Detection" of WWW2022. The split dataset can be found at: https://pan.
Apr 1, 2022 · Cross-modal learning is essential to enable accurate fake news detection due to the fast-growing multimodal contents in online social ...
CAFE improves fake news detection accuracy by judiciously and adaptively aggregating unimodal features and cross-modal correlations, i.e., ...
Apr 25, 2022 · Cross-modal learning is essential to enable accurate fake news detection due to the fast-growing multimodal contents in online social ...
To address the intrinsic ambiguity between different modalities content which causes the multimodal detection of fake news to be inferior, Chen et al. present a ...
Cross-modal Ambiguity Learning for Multimodal Fake News Detection
experts.colorado.edu › pubid_330435
Cross-modal Ambiguity Learning for Multimodal Fake News Detection Conference Proceeding uri icon. Overview; Other Profiles; Additional Document Info.
Duration: 18:41
Posted: Sep 12, 2022
Posted: Sep 12, 2022