Deep multimodal fusion for semantic image segmentation: A survey

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A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom

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Effective Techniques for Multimodal Data Fusion: A Comparative Analysis

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A survey of multimodal hybrid deep learning for computer vision: Architectures, applications, trends, and challenges

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Current and Emerging Trends in Medical Image Segmentation With Deep Learning

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A Comprehensive Survey on Deep Learning Multi-Modal Fusion: Methods, Technologies and Applications

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Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review

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Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review

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ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps

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Deep learning implementation of image segmentation in agricultural applications: a comprehensive review

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Deep learning for computational cytology: A survey

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Multimodal Classification: Current Landscape, Taxonomy and Future Directions

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Review on Panoramic Imaging and Its Applications in Scene Understanding

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A Comprehensive Review on Autonomous Navigation

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Polarization-driven semantic segmentation via efficient attention-bridged fusion

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Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation

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A review of cancer data fusion methods based on deep learning

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Progressive fusion learning: A multimodal joint segmentation framework for building extraction from optical and SAR images

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Advanced food contaminant detection through multi-source data fusion: Strategies, applications, and future perspectives

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Crack detection of masonry structure based on thermal and visible image fusion and semantic segmentation

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Multispectral Semantic Segmentation for Land Cover Classification: An Overview

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LMFNet: Lightweight Multimodal Fusion Network for high-resolution remote sensing image segmentation

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Multi-modality cardiac image computing: A survey

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CCAFFMNet: Dual-spectral semantic segmentation network with channel-coordinate attention feature fusion module

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A deep learning-based multimodal medical imaging model for breast cancer screening

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PFCFuse: A Poolformer and CNN Fusion Network for Infrared-Visible Image Fusion

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Robust semantic segmentation based on RGB-thermal in variable lighting scenes

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MMSFormer: Multimodal Transformer for Material and Semantic Segmentation

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Multimodal fusion and vision–language models: A survey for robot vision

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Unveiling the Complexity of Medical Imaging through Deep Learning Approaches

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DBF‐YOLO : UAV Small Targets Detection Based on Shallow Feature Fusion

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Modality-Specific Information Disentanglement From Multi-Parametric MRI for Breast Tumor Segmentation and Computer-Aided Diagnosis

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MMHFNet: Multi-modal and multi-layer hybrid fusion network for voice pathology detection

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A Multi-Branch U-Net for Steel Surface Defect Type and Severity Segmentation

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MF-AV-Net: an open-source deep learning network with multimodal fusion options for artery-vein segmentation in OCT angiography

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Multi-modal unsupervised domain adaptation for semantic image segmentation

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MSH-Net: Modality-Shared Hallucination With Joint Adaptation Distillation for Remote Sensing Image Classification Using Missing Modalities

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Integrated Sensing, Communication, and Computation for IoV: Challenges and Opportunities

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MFMamba: A Mamba-Based Multi-Modal Fusion Network for Semantic Segmentation of Remote Sensing Images

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Human Behavior Analysis: A Comprehensive Survey on Techniques, Applications, Challenges, and Future Directions

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NLFNet: Non-Local Fusion Towards Generalized Multimodal Semantic Segmentation across RGB-Depth, Polarization, and Thermal Images

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Early prediction of sepsis using double fusion of deep features and handcrafted features

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Deep Fusion of Appearance and Frame Differencing for Motion Segmentation

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VG-CALF: A vision-guided cross-attention and late-fusion network for radiology images in Medical Visual Question Answering

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How to best map greenery from a human perspective? Comparing computational measurements with human perception

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Improving Data Fusion for Fake News Detection: A Hybrid Fusion Approach for Unimodal and Multimodal Data

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Deep Multimodal Guidance for Medical Image Classification

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HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challenge

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Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm

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Multi-modal learning-based algae phyla identification using image and particle modalities

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Deep learning based object detection from multi-modal sensors: an overview

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NLP Sentiment Analysis and Accounting Transparency: A New Era of Financial Record Keeping

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Multi parallel U-net encoder network for effective polyp image segmentation

Jowair, H. A., Alsulaiman, M., & Muhammad, G. (2023) · Image and Vision Computing · doi:10.1016/j.imavis.2023.104767 · Cited by 27

Improving Industrial Quality Control: A Transfer Learning Approach to Surface Defect Detection

Semitela, Â., Pereira, J. M. D., Completo, A., Lau, N., & Santos, J. P. O. (2025) · Sensors · doi:10.3390/s25020527 · Cited by 23

A Novel Fusion Method With Thermal and RGB-D Sensor Data for Human Detection

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Study on the detection of water status of tomato (Solanum lycopersicum L.) by multimodal deep learning

Zuo, Z., Mu, J., Li, W., Bu, Q., Mao, H., Zhang, X., Han, L., & Ni, J. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1094142 · Cited by 21

Deep learning‐based panoptic segmentation: Recent advances and perspectives

Chuang, Y., Zhang, S., & Zhao, X. (2023) · IET Image Processing · doi:10.1049/ipr2.12853 · Cited by 25

MEFNET: Multi-expert fusion network for RGB-Thermal semantic segmentation

Lai, W., Zeng, F., Hu, X., Li, W., He, S., Liu, Z., & Jiang, Y. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106638 · Cited by 23

Prompting Multi-Modal Image Segmentation with Semantic Grouping

He, Q. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i3.27981 · Cited by 24

2D Semantic Segmentation: Recent Developments and Future Directions

Guo, Y., Nie, G., Gao, W., & Liao, M. (2023) · Future Internet · doi:10.3390/fi15060205 · Cited by 24

EFDCNet: Encoding fusion and decoding correction network for RGB-D indoor semantic segmentation

Chen, J., Li, G., Zhang, Z., & Zeng, D. (2023) · Image and Vision Computing · doi:10.1016/j.imavis.2023.104892 · Cited by 20

PTET: A progressive token exchanging transformer for infrared and visible image fusion

Huang, J., Chen, Z., Ma, Y., Fan, F., Tang, L., & Xiang, X. (2024) · Image and Vision Computing · doi:10.1016/j.imavis.2024.104957 · Cited by 19

Multi-modal fusion approaches for tourism: A comprehensive survey of data-sets, fusion techniques, recent architectures, and future directions

Khan, Q. W., Ahmad, R., Rizwan, A., Khan, A. N., Park, C., & Kim, D. (2024) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2024.109220 · Cited by 21

Dual-modal non-local context guided multi-stage fusion for indoor RGB-D semantic segmentation

Guo, X., Ma, W., Liang, F., & Mi, Q. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124598 · Cited by 19

A Multimodal Feature Fusion Network for Building Extraction With Very High-Resolution Remote Sensing Image and LiDAR Data

Luo, H., Feng, X., Du, B., & Zhang, Y. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3389110 · Cited by 20

Semantic Image Segmentation for Building Detection in Urban Area with Aerial Photograph Image using U-Net Models

Irwansyah, E., Heryadi, Y., & Gunawan, A. A. S. (2020) · IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) · doi:10.1109/agers51788.2020.9452773 · Cited by 20

Multimodality Alzheimer's Disease Analysis in Deep Riemannian Manifold

Ma, J., Zhang, J., & Wang, Z. (2022) · Information Processing & Management · doi:10.1016/j.ipm.2022.102965 · Cited by 17

LIX: Implicitly Infusing Spatial Geometric Prior Knowledge Into Visual Semantic Segmentation for Autonomous Driving

Guo, S., Long, Z., Wu, Z., Chen, Q., Pitas, I., & Fan, R. (2025) · IEEE Transactions on Image Processing · doi:10.1109/tip.2025.3618378 · Cited by 16

Semantic segmentation of 3D car parts using UAV-based images

Jurado-Rodríguez, D., Jurado, J. M., Pádua, L., Neto, A., Muñoz‐Salinas, R., & Sousa, J. J. (2022) · Computers & Graphics · doi:10.1016/j.cag.2022.07.008 · Cited by 16

Applying a Convolutional Vision Transformer for Emotion Recognition in Children with Autism: Fusion of Facial Expressions and Speech Features

Wang, Y., Pan, K., Shao, Y., Ma, J., & Li, X. (2025) · Applied Sciences · doi:10.3390/app15063083 · Cited by 15

Attention-Based Multimodal Deep Learning on Vision-Language Data: Models, Datasets, Tasks, Evaluation Metrics and Applications

Bose, P., Rana, P., & Ghosh, P. (2023) · IEEE Access · doi:10.1109/access.2023.3299877 · Cited by 18

DDViT: Advancing lithology identification on FMI image logs through a dual modal transformer model with less information drop

Hou, L. X., Ma, C., Tang, W., Zhou, Y., Ye, S., Chen, X., Zhang, X., Yu, C., Chen, A., Zheng, D., et al. (2024) · Geoenergy Science and Engineering · doi:10.1016/j.geoen.2024.212662 · Cited by 16

Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches

Cunha, N., Barros, T., Reis, M., Marta, T., Premebida, C., & Nunes, U. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-59167-9_26 · Cited by 15

MSCNet: A Framework With a Texture Enhancement Mechanism and Feature Aggregation for Crack Detection

Lu, G., He, X., Wang, Q., Shao, F., Wang, J., & Zhao, X. (2022) · IEEE Access · doi:10.1109/access.2022.3156606 · Cited by 15

Multimodal fusion in speech emotion recognition: A comprehensive review of methods and technologies

Nguyen, N. M., Nguyen, T. T., Tran, P.-N., Lim, C. P., Pham, N. T., & Dang, D. N. M. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.112624 · Cited by 15

Analysis of multimodal fusion strategies in deep learning for ischemic stroke lesion segmentation on computed tomography perfusion data

Raju, C. S. P., Neelapu, B. C., Laskar, R. H., & Muhammad, G. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-19252-2 · Cited by 14

Heterogeneous face detection based on multi‐task cascaded convolutional neural network

Yang, X., & Zhang, W. (2021) · IET Image Processing · doi:10.1049/ipr2.12344 · Cited by 13

Deep Learning and Hybrid Fusion-Based LOS/NLOS Identification in Substation Scenarios for Power Internet of Things

Zhou, T. Y., Wang, Y., Lin, Y., Ai, B., & Liu, L. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3432798 · Cited by 14

Tuple Perturbation-Based Contrastive Learning Framework for Multimodal Remote Sensing Image Semantic Segmentation

Ye, Y., Dai, J., Zhou, L., Duan, K., Tao, R., Li, W., & Hong, D. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3542868 · Cited by 14

A multimodal skin lesion classification through cross-attention fusion and collaborative edge computing

Tran-Van, N.-Y., & Le, K.-H. (2025) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2025.102588 · Cited by 17

DIAMANTE: A data-centric semantic segmentation approach to map tree dieback induced by bark beetle infestations via satellite images

Andresini, G., Appice, A., Ienco, D., & Recchia, V. (2024) · Journal of Intelligent Information Systems · doi:10.1007/s10844-024-00877-6 · Cited by 12

Multimodal CT and MR Segmentation of Head and Neck Organs-at-Risk

Podobnik, G., Strojan, P., Peterlin, P., Ibragimov, B., & Vrtovec, T. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43901-8_71 · Cited by 11

PGMNet: A Prototype-Guided Multimodal Network for Ship Recognition in SAR Images

Chen, L., Li, J., Zhong, H., Shi, H., Yang, Z., & Li, W. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3583282 · Cited by 13

PhaDe: Practical Phantom Spoofing Attack Detection for Autonomous Vehicles

Lin, F., Yan, H., Jin, L., Liu, Z., Lü, L., Ba, Z., & Ren, K. (2024) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2024.3376192 · Cited by 13

Your blush gives you away: detecting hidden mental states with remote photoplethysmography and thermal imaging

Liu, I., Liu, F., Zhong, Q., Ma, F., & Ni, S. (2024) · PeerJ Computer Science · doi:10.7717/peerj-cs.1912 · Cited by 13

Dual-Branch Multimodal Fusion Network for Driver Facial Emotion Recognition

Wang, L., Chang, Y., & Wang, K. (2024) · Applied Sciences · doi:10.3390/app14209430 · Cited by 10

RegSeg: An End-to-End Network for Multimodal RGB-Thermal Registration and Semantic Segmentation

Lai, W., Zeng, F., Hu, X., He, S., Liu, Z., & Jiang, Y. (2024) · IEEE Transactions on Image Processing · doi:10.1109/tip.2024.3501077 · Cited by 10

A Machine Learning Model for Improving Building Detection in Informal Areas: A Case Study of Greater Cairo

Taha, L. G. E.-D., & Ibrahim, R. E. (2022) · Geomatics and Environmental Engineering · doi:10.7494/geom.2022.16.2.39 · Cited by 10

Benchmarking Multi-Modal Semantic Segmentation Under Sensor Failures: Missing and Noisy Modality Robustness

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Advances in medical image segmentation: A comprehensive survey with a focus on lumbar spine applications

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PATCH

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