Overview

Multimodal fusion studies how to combine inputs such as images, text, audio, medical scans, sensor streams, and structured records so models can use their complementary information. Common approaches include early or late fusion, cross-attention and contrastive alignment, and adaptive gates or mixtures of experts that weight modalities by task, sample, or estimated reliability. Methods are tested across settings such as BraTS medical segmentation, CMU-MOSI and CMU-MOSEI sentiment analysis, RGB-thermal detection, and clinical prediction, with growing attention to missing, noisy, or misaligned inputs. A central open tension is that additional modalities can help when they add useful evidence, but can also introduce noise or let a dominant modality suppress weaker ones; robust gains and generalization beyond benchmark conditions remain difficult to establish.

Latest papers

CardsList

771 papers73 papers in the last four weeks, down 12% on the four weeks before. 0.4% of all new papers.

  1. Cross-Modal Iteration Distillation for Robust IHD Screening: The IDNet Framework and A New Benchmark

    Jun 29, 2026Yongchang Gao, Junjie Pang, Shuaiyu Yang +5Cross-Modal Knowledge DistillationMedical Imaging

  2. Traffic-CBM: A Structurally Interpretable Multimodal Framework for Encrypted Traffic Classification

    Jun 29, 2026Honglei Jin, Wenshuo Chen, Shaofeng Liang +6Encrypted Network Traffic AnalysisMultimodal Classification

  3. LLM-based Multimodal Personality Recognition via Facial Action Unit-Text Semantic Fusion

    Jun 29, 2026Tianyi Zhang, Wei Shan, Yuan Zong +2Multimodal FusionMultimodal Learning

  4. AMR: Adaptive Modality Routing for Multimodal Polyglot Speaker Identification

    Jun 28, 2026Chuxiao Zuo, Yao Zhu, Minqiang Xu +3Multimodal RobustnessSpeech Processing

  5. CMTFormer: Marrying Transformer with Hierarchical Information Interaction for RGB-Event Object Detection

    Jun 28, 2026Yu Li, Yuenan Hou, Yingmei Wei +2Event-Based VisionEvent-Based Object Detection

  6. S2^2-VLA: State-Space Guided Vision-Language-Action Models for Long-Horizon Manipulation

    Jun 26, 2026Zhipeng Xie, Zongyi Han, Xiangyi Wei +3Long-Horizon Robotic ManipulationVision-Language-Action Models

  7. Multi-Modal Conditioned High-Resolution Transformer for Urban Electromagnetic Field Map Prediction Download PDF

    Jun 26, 2026Do-Eon Kim, Dongryul Park, Seungyoung Ahn +3TransformerWireless Communications

  8. Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI

    Jun 25, 2026Minh Duc Do, Tillmann Rheude, Noel Kronenberg +23D ViTsBrain Age Prediction

  9. Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detection

    Jun 25, 2026Ke Chen, Ling Zhou, Guangqi Jiang +3Salient Object DetectionVisual SSMs

  10. Multi-modality Image Fusion under Adverse Weather: Mask-Guided Feature Restoration and Interaction

    Jun 25, 2026Xilai Li, Xiaosong Li, Haishu Tan +3Multi-Source Image FusionCross-Modal Attention

  11. Methane-Plume Segmentation From Hyperspectral Satellite Imagery Via Multimodal Deep Learning

    Jun 24, 2026Brayan Quintero, Jeferson Acevedo, Samuel Traslaviña +1Efficient Multimodal InferenceRemote Sensing Image Segmentation

  12. SAC2^2-Net: Semantic Anchoring and Complementary-Consensus Fusion for Multimodal Micro-Expression Recognition

    Jun 24, 2026Xuepeng Zheng, Tong Chen, Chaoping Gui +3Cross-Modal AlignmentMultimodal Emotion Recognition

  13. Multi-Stream Temporal Fusion for Financial Fraud Detection

    Jun 23, 2026Mohammadamin Dashti Moghaddam, Nick SciarrilliTransformerFinancial Fraud Detection

  14. Enhancing Clinician Decision-Making via Uncertainty-Aware Multi-Expert Fusion for Stroke Rehabilitation

    Jun 23, 2026Tamim Ahmed, Thanassis RikakisClinical Decision-MakingMultimodal Model Interpretability

  15. Progressive Pixel-Neighborhood Deformable Cross-Attention for Multispectral Object Detection

    Jun 23, 2026Tian Qiu, Jifeng Shen, Xin ZuoCross-Modal AttentionCross-Modal Alignment

  16. Beyond Time Series: Spatial Reasoning for Epidemic Forecasting via Multimodal Learning

    Jun 20, 2026Diana Guadalupe Gomez, Chenwei Wu, Zhiyi Wang +2Epidemic ForecastingSpatiotemporal Reasoning

  17. A Controlled Study of CLIP-Based Body-Scene Fusion for Emotion Recognition in Context

    Jun 20, 2026Zubair Abbas, Muhammad Umair, Muqaddas HameedMultimodal FusionEmotion Recognition

  18. AgroSense 2.0: Cross-Modal Transformer Fusion with Geospatial Raster Integration and Interpretable Multi-Task Learning for Precision Crop Recommendation

    Jun 20, 2026Vishal Pandey, Rishav Tewari, Ruzina Haque LaskarMultimodal FusionPrecision Agriculture

  19. A Hybrid, Multi-Layered Pipeline for Phishing and Threat Classification: Independently Validated URL and NLP Engines with a Calibrated Multi-Channel Fusion Stage

    Jun 19, 2026Saifelden M. Ismail, Aser O. Ibrahim, Omar A. MahmoudPhishing DetectionMultimodal Fusion

  20. EnTrust: Modeling Inter-Modal Conflict for Trustworthy Multimodal Medical Image Analysis

    Jun 19, 2026Dwarikanath Mahapatra, Abhijit Das, Behzad Bozorgtabar +5Cross-Modality Medical Image SegmentationDiffusion Models for Medical Image Segmentation

  21. Demographic Metadata as Construct-Irrelevant Noise in DistilBERT-Based Automated Essay Scoring

    Jun 19, 2026Teik Peng Ch'ng, Hui Na ChuaAutomated Essay ScoringDemographic Bias in Language Models

  22. Alzheimer's Disease Diagnosis using a Multimodal Approach with 3D MRI and PET

    Jun 18, 2026Loukas Ilias, Anthi-Maria Vozinaki, Christos Ntanos +1Medical Diagnosis3D Medical Imaging

  23. Evidential Fusion Network for Multimodal Survival Prediction under Missing Modalities

    Jun 18, 2026Yucheng Xing, Hailan Mo, Zi Wang +2Missing-Modality LearningUncertainty Quantification

  24. Vortex: Multi-Modal Fusion System for Intelligent Video Retrieval

    Jun 18, 2026Duc-Tho Nguyen, Hieu-Hoc Tran-Minh, Khanh-Hoa Lam +4Multimodal IRInformation Retrieval

  25. An approach with Visual and Tabular Mamba to multimodal medical data using Mixed Fusion

    Jun 17, 2026Matheus B. Rocha, Gustavo B. Dettogni, Renato A. KrohlingMambaMultimodal Classification