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. AnyTrack: Unifying Visual Object Tracking with Any Modalities

    Aug 7, 2026Hao Li, Yunzhi Zhuge, Wenning Hao +4Multimodal Visual Object TrackingMissing-Modality Learning

  2. CFGPNet: Cross-Attention-Based Fused Gradient Programmed Network Framework for Multispectral Object Detection

    Aug 6, 2026Nima Hatami, Karim Faez, Saeed Sharifian +1Multispectral Object DetectionEfficient Object Detection

  3. MIDAS: Mutual Information Disentanglement with Uncertainty-Aware Fusion for Incomplete Multimodal Sentiment Analysis

    Aug 6, 2026Yuhua Wen, Yingying Zhou, Qifei Li +4Missing-Modality LearningMultimodal Disentangled Representation Learning

  4. URNet: A Unified Reparameterized Network for Efficient RGB-D Semantic Segmentation

    Aug 6, 2026Guoan Xu, Zhengxue Wang, Yang Xiao +3Multi-Scale Feature FusionMultimodal Fusion

  5. F2^2Agent: Financial Fusion of Agentic Intelligence for Multimodal Trading

    Aug 6, 2026Changshuo Liu, Yanzheng Jin, Shangfeng Cai +3Multimodal AgentsMultimodal Fusion

  6. RegisterBridgeMM: A Register-Centric Framework for RGB-Infrared Object Detection

    Aug 5, 2026Zian Wang, Hangchuan Liang, Yuehua Chen +4Multi-Source Image FusionInfrared Object Detection

  7. TRNet: Topography-Guided Frequency Rectification and Structure-Aware Decoding for Multimodal Paddy Rice Segmentation

    Aug 4, 2026Kaiwen Xiao, Chunlong Fu, Liping Zheng +1Agricultural Image AnalysisRemote Sensing Image Segmentation

  8. Multimodal Skin Lesion Classification with Swin Transformer and Clinical Metadata Fusion

    Aug 4, 2026Nethmi Pathirana, Isuru Munasinghe, Dileeka AlwisSkin Lesion ClassificationMultimodal Classification

  9. Rethinking Modality Reliability in Multimodal Sentiment Analysis with Incomplete Observations

    Aug 4, 2026Chunlei Meng, Jacqueline J. Pang, Pengbin Feng +3Missing-Modality LearningMultimodal Sentiment Analysis

  10. Compass: Degradation-Simulated Reciprocal Learning with Lightweight Needle RWKV for Multimodal Crack Segmentation under Missing Modalities

    Aug 4, 2026Hui Liu, Chen Jia, Fan Shi +3Missing-Modality LearningEfficient Multimodal Inference

  11. Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding

    Aug 4, 2026Mohnish Raj, Suraj Kumar, Soumi Chattopadhayay +2Prototype LearningMultimodal Fusion

  12. DRPFNet: Dual-domain Residual Progressive Fusion Network for RGB-Thermal Object Detection

    Aug 4, 2026Zian Wang, Changchun LiMultispectral Object DetectionInfrared Object Detection

  13. CIGTSurv: Clinical Information Guided Tri-modal Survival Prediction with Local Prototype Association and Global Feature Alignment

    Aug 4, 2026Jing Dai, Qibin Zhang, Weiwei Zhou +4Cancer Survival PredictionSurvival Analysis

  14. DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing

    Aug 3, 2026Sagnik Nandy, Samriddha Lahiry, Pragya Sur +1Latent Variable ModelsApproximate Message Passing

  15. Uncertainty-Aware Crossmodal Fusion for Classification of Animal Behavior

    Aug 3, 2026Ehsan Yaghoubi, Florian HaselbeckUncertainty-Aware Multimodal FusionBioacoustics

  16. Deep Multimodal Fusion Detection through Spatial Mask and Channel Competition

    Aug 3, 2026Guandi Wang, Ming Li, Yunsen Xing +1Cross-Modal LearningCross-Modal Attention

  17. Parameter-Dynamic Adaptive Fusion and Calibration Network for RGBT Tracking

    Aug 3, 2026Zhaoding Ding, Chenglong Li, Jiandong Jin +2Visual Object TrackingMultimodal Fusion

  18. SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks

    Aug 3, 2026Xiubo Liang, Jinxing Han, Yuke Li +3Spiking TransformersSpiking Neural Networks

  19. UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering

    Aug 2, 2026Ganzhong Luo, Yang Ren, Hanyong Wang +2Multimodal IRMultimodal Reranking

  20. WiFuse: An Attention Mechanism for Human Activity Recognition using Fused CSI Amplitude and Delay-Doppler Channel Features

    Aug 1, 2026Alison M. Fernandes, Hermes I. Del Monego, Bruno S. Chang +3Human Activity RecognitionMultimodal Fusion

  21. RHEA: Reliability-Harmonized Reconstruction and Assignment for Robust Multimodal-Attributed Graph Clustering

    Aug 1, 2026Yinlin Zhu, Di Wu, Ziyu Han +4Multimodal RobustnessClustering

  22. Unleashing the Power of Text: Text-Guided Flow Matching for Image Fusion under Complex Degradations

    Aug 1, 2026Axi Niu, Jieheng Li, Kang Zhang +3Flow MatchingMulti-Source Image Fusion

  23. Structured Proxy Features for Multimodal NSCLC Survival Prediction from Pretreatment CT

    Aug 1, 2026Huu Phong Nguyen, Delower Hossain, Ehsan Saghapour +2Cancer Survival PredictionOncology

  24. Multi-Modal Object Re-Identification with Dual Semantic Guidance and Global-Local Mutual Modulation

    Jul 31, 2026Weixiang Zhou, Xingguo Xu, Yuhao Wang +4Cross-Modal Representation LearningMultimodal Robustness

  25. DoubleHelix: Structured Cross-Modal Fusion for Audio-Visual Speech Recognition with LLMs

    Jul 31, 2026Ziwei Cheng, Zhenhua Tan, Zhuomin ZhuMultimodal RobustnessAudio-Visual Speech Recognition

  26. MIND: Multimodal Intent-Driven Network via Diffusion Transformers for Medical Image Fusion

    Jul 30, 2026Yunzhan Fu, Xiangyu Shen, Yifei Sun +3Multi-Source Image FusionDiffusion Transformer