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

766 papers88 papers in the last four weeks, up 26% on the four weeks before. 0.5% of all new papers.

  1. I2^2-KAN: Interpretable Intra- and Inter-Modal Multi-Pathway Representation Learning for Multimodal Sentiment Analysis

    Oct 22, 2026Xiaoting Xie, Feng Qiao, Xianwei Zhang +5Multimodal Sentiment AnalysisMultimodal Fusion

  2. ICGF-CXRMate: Image-Conditioned Clinical Context Compression and Gated Fusion for Chest X-ray Report Generation

    Oct 22, 2026Vu Minh Tran, Thuc Huynh, Son Thanh Luu +1Gated Multimodal FusionRadiology Report Generation

  3. AGF-Net: A Robust Multimodal Emotion Recognition Model for Asynchronous Audio-Visual Signals Based on Predictive Dynamic Fusion with Negative Learning

    Oct 22, 2026Chuan Han Li, Yun Chien ChengMultimodal Emotion RecognitionMultimodal Fusion

  4. GAMF-Net: Grouped Availability-Aware Multimodal Fusion for Smartphone Skin Lesion Classification

    Oct 20, 2026Yue Zhuo, Jingjia Yan, Fangyu Liu +4Skin Lesion ClassificationMultimodal Classification

  5. HypTI: Hyperbolic Geometry-Aware Multimodal Feature Fusion Framework for Dementia Detection Based on Tabular-Image Data

    Oct 20, 2026Jianfei Xu, Huizhi Liang, Judith Harrison +3Multimodal FusionMultimodal Classification

  6. Revealing Inter-Channel Modality Discriminability: Channel Selective Interaction Fusion Network for Optical-SAR Object Detection

    Oct 20, 2026Haojie Li, Yuanfei Huang, Lingfei Song +2Object DetectionMultimodal Object Detection

  7. Progressive multi-scale tumor-state memory for incomplete multimodal brain tumor segmentation

    Oct 19, 2026Milad Rostamian, Mohammadreza Mohammadi, Mohsen SoryaniMissing-Modality Medical Image SegmentationMedical Image Segmentation

  8. RGB--Event Object Detection Across Operating Frequencies via Reliability-Supervised Routing and Asymmetric-Resolution Fusion

    Oct 19, 2026Peijun Shi, Jiannan Zhao, Xiujin Zhu +3RGB-Event Sensor FusionReliability-Aware Multimodal Fusion

  9. CheXFuse: Guided Differential Joint Attention Fusion for Robust Multimodal Chest X-Ray Classification in Data-Scarce Medical Settings

    Oct 19, 2026Muntaqim Ahmed Raju, Priyanka Siddappa, Md Shifat Haider Al Amin +2Multimodal FusionChest X-Ray Classification

  10. Shared-Private Cross-Modal Discrepancy Learning for Imbalanced Multi-Source Audio-Visual Deepfake Detection

    Oct 18, 2026Qiwu Wen, Jahangir AlamMultimodal Deepfake DetectionMultimodal Fusion

  11. DeliMF: Gated Cross-Attention Fusion of Structured Time Series and Clinical Text for Early Intensive Care Delirium Prediction

    Oct 17, 2026Yibo Yang, Zerui Huang, Haomiao Yang +1Clinical PredictionClinical Risk Prediction

  12. MSCR: Jointly Balancing Utilization Across Modalities and Discovering Synergistic Information

    Oct 17, 2026Xinyu Chen, Liangjian Wen, Jiang Duan +7Multimodal FusionModality Reliance in Multimodal Models

  13. Joint, Decoupled, or Agent: When Each Multimodal Alignment Paradigm Wins

    Oct 16, 2026Yi Fang, Gaurav Srivastava, Sirui Ding +1Multimodal FusionMultimodal Model Evaluation

  14. Enhancing RAG-based Medical VQA with Gated Multimodal Representations

    Oct 16, 2026Daniela Jimenez-Pano, Hugo Jair Escalante, Delia Irazú Hernández-FaríasGated Multimodal FusionMedical VQA

  15. ODSS-Net: Orthogonally Decoupled Shared-Specific Representations for Multi-Modal Object Re-Identification

    Oct 16, 2026Zhifeng Ma, Yuhong Feng, Chongyi Huang +2Multimodal Disentangled Representation LearningMultimodal Fusion

  16. Reliability-Aware Multimodal Sentiment Prediction Under Local Modality Missingness

    Oct 14, 2026Minghao Kong, Deng Yao, Xi Zhang +4Multimodal Sentiment AnalysisMissing-Modality Learning

  17. Context-aware Bayesian Fusion for Multimodal Object Detection

    Oct 13, 2026Arunachalam Venkatachalam, Mhafuzul Islam, Marwan Yusuf +3Multimodal Object DetectionObject Detection

  18. GeoMER: A Joint Euclidean-Hyperbolic Geometry Framework for Multimodal Emotion Recognition

    Oct 13, 2026Ting Zhu, Huizhi Liang, Boguslaw Obara +2Multimodal Emotion RecognitionMultimodal Fusion

  19. Parameter-Efficient Multimodal Brain Tumor Segmentation With Stage-Wise Shared Adapters

    Oct 13, 2026Milad Rostamian, Mohammadreza Mohammadi, Ender Konukoglu +1Brain Tumor SegmentationCross-Modality Medical Image Segmentation

  20. Multimodal Fusion of RGB and Complementary Modalities for Semantic Segmentation

    Oct 13, 2026Hu Cao, Yifeng Cheng, Mu He +3Multimodal Semantic SegmentationMultimodal Fusion

  21. Merit: Making every modality earn its contribution in multimodal attention decoding

    Oct 13, 2026Ali Alavi, Donald S. WilliamsonNeural DecodingEEG Decoding

  22. Reference-Efficient Multimodal Bitstream-Corrupted Video Recovery via Depth-Conditioned Adaptation

    Oct 11, 2026Tianyi Liu, Jiaojiao Wang, Ye Lu +4Video RestorationMultimodal Fusion

  23. Toward a Multimodal Foundation Model for Plasma State Reconstruction

    Oct 10, 2026Bin Xia, Chuanfei Dong, Boting Li +9Multimodal Foundation ModelsMissing-Modality Learning

  24. BridgeWAM: Bridging Video and Action Experts via Latent Bridge Queries

    Oct 10, 2026Jiaxin Fang, Ruitong Liu, Zeyu Lai +6Vision-Language-Action ModelsEfficient Inference for World Action Models