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

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

  1. RACANet: Reliability-Aware Crowd Anchor Network for RGB-T Crowd Counting

    Apr 27, 2026Jinghao Shi, Mengqi Lei, Kunliang He +3Cross-Modal AlignmentCrowd Counting

  2. Point Cloud Registration for Fusion between SPECT MPI and CTA Images

    Apr 27, 2026Ni Yao, Xiangyu Liu, Shaojie Tang +9Medical ImagingMedical Image Registration

  3. CMGL: Confidence-guided Multi-omics Graph Learning for Cancer Subtype Classification

    Apr 27, 2026Boyang Fan, Hengchuang Yin, Siyu Yi +5OncologyCancer Subtype Classification

  4. Open-Vocabulary Semantic Segmentation Network Integrating Object-Level Label and Scene-Level Semantic Features for Multimodal Remote Sensing Images

    Apr 27, 2026Jinkun Dai, Yuanxin Ye, Peng Tang +4Remote Sensing Image SegmentationText-Guided Image Segmentation

  5. Hierarchical Prototype-based Domain Priors for Multiple Instance Learning in Multimodal Histopathology Analysis

    Apr 27, 2026Xuemei Qiu, Dawei Fan, Yebin Huang +2Cross-Modal AlignmentPrototype Learning

  6. LAVA: Layered Audio-Visual Anti-tampering Watermarking for Robust Deepfake Detection and Localization

    Apr 27, 2026Bokang Zeng, Zheng Gao, Xiaoyu Li +2Audio WatermarkingDeepfake Detection

  7. Modeling Induced Pleasure through Cognitive Appraisal Prediction via Multimodal Fusion

    Apr 26, 2026Nastaran Dab, Raziyeh Zall, Mohammadreza KangavariMultimodal Model InterpretabilityMultimodal Fusion

  8. A Heterogeneous Two-Stream Framework for Video Action Recognition with Comparative Fusion Analysis

    Apr 25, 2026Md. Afzalur Rahaman, Tahmid RahmanVideo Action RecognitionCross-Modal Attention

  9. Contrastive Learning for Multimodal Human Activity Recognition with Limited Labeled Data

    Apr 25, 2026Long Jing, Zhixiong Yang, Yajun Zhang +1Cross-Modal Representation LearningHuman Activity Recognition

  10. Text-Guided Multimodal Unified Industrial Anomaly Detection

    Apr 24, 2026Zewen Li, Shuo Ye, Zitong Yu +2Unified Multimodal ModelsIndustrial Anomaly Detection

  11. MiMIC: Mitigating Visual Modality Collapse in Universal Multimodal Retrieval While Avoiding Semantic Misalignment

    Apr 23, 2026Juan Li, Chuanghao Ding, Xujie Zhang +1Cross-Modal LearningCross-Modal Alignment

  12. Semi-Supervised Flow Matching for Mosaiced and Panchromatic Fusion Imaging

    Apr 22, 2026Peiming Luo, Nan Wang, Litong Liu +4Flow MatchingMulti-Source Image Fusion

  13. DUALVISION: RGB-Infrared Multimodal Large Language Models for Robust Visual Reasoning

    Apr 20, 2026Abrar Majeedi, Zhiyuan Ruan, Ziyi Zhao +3Cross-Modal LearningVisual Question Answering

  14. DREAM: Dynamic Retinal Enhancement with Adaptive Multi-modal Fusion for Expert Precision Medical Report Generation

    Apr 19, 2026Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye YeMedical ImagingMedical Report Generation

  15. Multimodal Fusion of Histopathology Images and Electronic Health Records for Early Breast Cancer Diagnosis

    Apr 18, 2026Aditya Shribhagwan Khandelwal, Mohammad Samar Ansari, Asra AslamBreast CancerComputational Pathology

  16. Dynamic Emotion and Personality Profiling for Multimodal Deception Detection

    Apr 18, 2026Li Zheng, Yanyi Luo, Hao Fei +5Multimodal Emotion RecognitionUncertainty-Aware Multimodal Fusion

  17. TriTS: Time Series Forecasting from a Multimodal Perspective

    Apr 17, 2026Xiang AoLong-Term Time Series ForecastingCross-Modal Representation Learning

  18. A Two-Stage Multi-Modal MRI Framework for Lifespan Brain Age Prediction

    Apr 17, 2026Dingyi Zhang, Ruiying Liu, Yun WangBrain Age PredictionNeuroimaging

  19. Information Router for Mitigating Modality Dominance in Vision-Language Models

    Apr 17, 2026Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegibVLM RobustnessVision-Language Models

  20. Joint-Centric Dual Contrastive Alignment with Structure-Preserving and Information-Balanced Regularization

    Apr 17, 2026Habibeh Naderi, Behrouz Haji Soleimani, Stan MatwinCross-Modal LearningModality Imbalance

  21. SWNet: A Cross-Spectral Network for Camouflaged Weed Detection

    Apr 17, 2026Henry O. Velesaca, Luigi Miranda, Angel D. SappaAgricultural Image AnalysisWeed Detection

  22. Dual-Modal Lung Cancer AI: Interpretable Radiology and Microscopy with Clinical Risk Integration

    Apr 17, 2026Baramee Sukumal, Aueaphum AueawatthanaphisutMedical Image ClassificationExplainable Medical Image Analysis

  23. EviDep: Uncertainty-Aware Multimodal Depression Estimation via Disentangled Evidential Learning

    Apr 17, 2026Fangyuan Liu, Sirui Zhao, Yangsong Zhang +5Disentangled Representation LearningEvidential Deep Learning

  24. Chain of Modality: From Static Fusion to Dynamic Orchestration in Omni-MLLMs

    Apr 16, 2026Ziyang Luo, Nian Liu, Junwei HanMultimodal Large Language ModelsMultimodal Reasoning

  25. M3R: Localized Rainfall Nowcasting with Meteorology-Informed MultiModal Attention

    Apr 15, 2026Sanjeev Panta, Rhett M Morvant, Xu Yuan +2Precipitation NowcastingSpatiotemporal Forecasting