Copertina

CroMe: Multimodal Fake News Detection using Cross-Modal Tri-Transformer and Metric Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Choi, Eunjee, Ahn, Junhyun, Piao, XinYu, Kim, Jong-Kook
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

TT-BLIP: Enhancing Fake News Detection Using BLIP and Tri-Transformer
di: Choi, Eunjee, et al.
Pubblicazione: (2024)

Enabling Large Batch Size Training for DNN Models Beyond the Memory Limit While Maintaining Performance
di: Piao, XinYu, et al.
Pubblicazione: (2021)

Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection
di: Jiang, Ye, et al.
Pubblicazione: (2024)

Exploring Modality Disruption in Multimodal Fake News Detection
di: Liu, Moyang, et al.
Pubblicazione: (2025)

TraM : Enhancing User Sleep Prediction with Transformer-based Multivariate Time Series Modeling and Machine Learning Ensembles
di: Kim, Jinjae, et al.
Pubblicazione: (2024)

Exposing Cross-Modal Consistency for Fake News Detection in Short-Form Videos
di: Tian, Chong, et al.
Pubblicazione: (2026)

A Self-Learning Multimodal Approach for Fake News Detection
di: Chen, Hao, et al.
Pubblicazione: (2024)

CroSTAta: Cross-State Transition Attention Transformer for Robotic Manipulation
di: Minelli, Giovanni, et al.
Pubblicazione: (2025)

Using a Deep Learning Model to Simulate Human Stock Trader's Methods of Chart Analysis
di: Kang, Sungwoo, et al.
Pubblicazione: (2023)

Retrieval-Augmented Multimodal Model for Fake News Detection
di: Li, Yiheng, et al.
Pubblicazione: (2026)

Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning
di: Zhu, Ye, et al.
Pubblicazione: (2025)

Multimodal Learning for Fake News Detection in Short Videos Using Linguistically Verified Data and Heterogeneous Modality Fusion
di: Li, Shanghong, et al.
Pubblicazione: (2025)

Cross-Modality and Within-Modality Regularization for Audio-Visual DeepFake Detection
di: Zou, Heqing, et al.
Pubblicazione: (2024)

Modality Interactive Mixture-of-Experts for Fake News Detection
di: Liu, Yifan, et al.
Pubblicazione: (2025)

Magnetic Resonance Imaging Features of Spontaneous Subdural Hematoma Secondary to Necrotizing Encephalitis in a Dog
di: Eunjee Kim, et al.
Pubblicazione: (2025)

TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection
di: Jiang-Lin, Jian-Yu, et al.
Pubblicazione: (2025)

Tri-Modal Fusion Transformers for UAV-based Object Detection
di: Iaboni, Craig, et al.
Pubblicazione: (2026)

CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
di: Tian, Shiyu, et al.
Pubblicazione: (2023)

Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
di: Guo, Hao, et al.
Pubblicazione: (2024)

Heterogeneous Subgraph Transformer for Fake News Detection
di: Zhang, Yuchen, et al.
Pubblicazione: (2024)

CroCoDai: A Stablecoin for Cross-Chain Commerce
di: Reijsbergen, Daniël, et al.
Pubblicazione: (2023)

CAD: A General Multimodal Framework for Video Deepfake Detection via Cross-Modal Alignment and Distillation
di: Du, Yuxuan, et al.
Pubblicazione: (2025)

GraphT5: Unified Molecular Graph-Language Modeling via Multi-Modal Cross-Token Attention
di: Kim, Sangyeup, et al.
Pubblicazione: (2025)

Adaptive Learning of Consistency and Inconsistency Information for Fake News Detection
di: Li, Aohan, et al.
Pubblicazione: (2024)

CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
di: Mushtaq, Erum, et al.
Pubblicazione: (2024)

Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback
di: Ahn, Daechul, et al.
Pubblicazione: (2024)

Cross-Modal Deep Metric Learning for Time Series Anomaly Detection
di: Li, Wei, et al.
Pubblicazione: (2025)

External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection
di: Cao, Biwei, et al.
Pubblicazione: (2025)

AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
di: Xu, Xiaoman, et al.
Pubblicazione: (2024)

CroCo: Cross-Lingual Contrastive Preference Tuning on Self-Generations
di: Zhang, Mike, et al.
Pubblicazione: (2026)

MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model
di: Ha, Sumin, et al.
Pubblicazione: (2025)

CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing
di: Yang, Nan, et al.
Pubblicazione: (2026)

SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training
di: Wang, Rongsheng, et al.
Pubblicazione: (2025)

CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking
di: Deldari, Shohreh, et al.
Pubblicazione: (2023)

CroTad: A Contrastive Reinforcement Learning Framework for Online Trajectory Anomaly Detection
di: Xue, Rui, et al.
Pubblicazione: (2025)

Multimodal Inverse Attention Network with Intrinsic Discriminant Feature Exploitation for Fake News Detection
di: Zhang, Tianlin, et al.
Pubblicazione: (2025)

MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection
di: Yan, Kaiying, et al.
Pubblicazione: (2025)

CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search
di: Xie, Ao, et al.
Pubblicazione: (2025)

F2IND-IT! -- Multimodal Fuzzy Fake Indian News Detection using Images and Text
di: Trivedi, Kushal, et al.
Pubblicazione: (2026)

Head-wise Modality Specialization within MLLMs for Robust Fake News Detection under Missing Modality
di: Qian, Kai, et al.
Pubblicazione: (2026)