RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes

Deep Residual Learning for Image Recognition

He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474

Very Deep Convolutional Networks for Large-Scale Image Recognition

Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 114,148

U-Net: Convolutional Networks for Biomedical Image Segmentation

Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404

Going deeper with convolutions

Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298594 · Cited by 48,562

Fully convolutional networks for semantic segmentation

Long, J., Shelhamer, E., & Darrell, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298965 · Cited by 38,834

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2017.2699184 · Cited by 22,392

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2016) · arXiv · doi:10.48550/arxiv.1606.00915 · Cited by 22,392

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Badrinarayanan, V., Kendall, A., & Cipolla, R. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2644615 · Cited by 19,631

Pyramid Scene Parsing Network

Zhao, H., Shi, J., Qi, X., Wang, X., & Jia, J. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.660 · Cited by 16,438

Untitled work

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基于可形变VMamba与特征对齐的无人机多模态图像语义分割 (特邀)

Tao, 张. Z., Ruitao, 卢. L., Yaochen, 李. L., Xueli, 谢. X., Jiwei, 范. F., & Xiaogang, 杨. Y. (2026) · Infrared and Laser Engineering · doi:10.3788/irla20260160

A shared and discrepant cue-guided network for RGB-T semantic segmentation

Song, X., Liu, Y., Xue, W., & Zhuang, Y. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.134240

Illumination-modality dual-awareness driven adaptive fine-grained fusion network for RGB-T semantic segmentation

Zhang, Z., Zhang, M., Hou, H., Shi, Q., Meng, F., Li, X., Yang, T., Ren, W., & Jing, P. (2026) · Digital Signal Processing · doi:10.1016/j.dsp.2026.106377

An unaligned multimodal cross-domain fusion network for salient object detectionPreprint

Ding, Y., Song, M., Zhao, Y., & Yu, X. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7071770

3SC-Net: A Three-Stage Progressive Framework with Clinical-Guided Cross-Modal Alignment for Hemorrhagic Transformation Prediction

Lan, X., & Cui, S. (2026) · Lecture notes in computer science · doi:10.1007/978-981-92-3495-0_18

SWDNet: Knowledge-Driven Cross-Modal Network with Sliding Window Difference Modeling

Huang, J., & Xie, R. (2026) · Lecture notes in computer science · doi:10.1007/978-981-92-2759-4_31

Single-branch RGB-T semantic segmentation for complex park scenes with image-level fusion and cross-modal knowledge distillation

Zhu, Q., Yang, F., Wang, L., Wan, Z., Mo, X., & Shao, F. (2026) · Displays · doi:10.1016/j.displa.2026.103624

Multi-scale rectified mixture-of-experts fusion for RGB–Thermal semantic segmentation

Gozler, D., & Topal, C. (2026) · Image and Vision Computing · doi:10.1016/j.imavis.2026.106109

Intra-Modal Cross-Attention Fusion for Domain Generalized Semantic Segmentation

Bätje, M., Schwalbe, G., Mütze, A., Schwonberg, M., & Leucker, M. (2026) · IEEE Intelligent Vehicles Symposium · doi:10.1109/iv66570.2026.11625210

SAR: semantic ambiguity relief network for RGB-T semantic segmentation

Zhao, S., Li, J., Jiao, Q., Zhang, Q., & Han, J. (2026) · Information Fusion · doi:10.1016/j.inffus.2026.104671

Unified framework for cross-modal alignment and thermal analysis of UAV-acquired RGB–thermal imagery for building inspection

Nikkhah, A. F., Kim, K. Y., Zheng, Z., Lakshmi, V., & Heydarian, A. (2026) · Automation in Construction · doi:10.1016/j.autcon.2026.107168

RM-MLLM: Robust scene understanding in adverse weather with RGB-multispectral fusion

Ju, H., Yeo, S. D., Park, I., Jin, Y., Nalçakan, Y., & Kim, S. (2026) · Results in Engineering · doi:10.1016/j.rineng.2026.112317

3-D Ultrasonic Imaging Method for Composite Materials Based on Fusion of Visible Light Image and Depth Maps

Li, C., Wei, X., He, W., & Yin, Y. (2026) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2026.3720870

DSMNet: dual-stream Mamba with global context encoding and frequency-domain detail compensation for RGB-T segmentation

Jin, Q., Zhang, Y., Peng, C., Hu, J., & Li, L. (2026) · Geo-spatial Information Science · doi:10.1080/10095020.2026.2707066

DCBF-Net: Dynamic cross-modal rectification and bidirectional fusion for RGB-thermal semantic segmentation

He, X., Guo, B., Zhao, S., & Han, Y. (2026) · Infrared Physics & Technology · doi:10.1016/j.infrared.2026.106793

DIGSFNet: Deformation-Integrity-Guided Symmetric Fusion Network for High-Risk Landslide Extraction from Multi-Source Remote Sensing Images

Ni, Z., Hu, L., Wang, H., Li, F., Tang, M., Ma, G., & Sui, H. (2026) · Remote Sensing · doi:10.3390/rs18162692

基于递归增强与跨模态协同的红外与可见光图像融合方法

Ling, 沈. S., Bo, 倪. N., Qixuan, Y., Haibin, 倪. N., Xiaoyan, 周. Z., & Jianhua, 常. C. (2026) · Laser & Optoelectronics Progress · doi:10.3788/lop260604

Sigma-Based RGB-Hyperspectral Fusion for Semantic Segmentation in Autonomous Driving

Aditya, S., Sai Kiran, K., Sankararao, A. U. G., Reddy, D., & Rajalakshmi, P. (2026) · Proceedings - International Conference on Image Processing · doi:10.1109/icip61757.2026.11630398

Road negative obstacle segmentation via a dual-branch segment anything model with RGB-depth cross-prompting

Wang, F., Liu, Q., & Wu, G. (2026) · The Journal of Supercomputing · doi:10.1007/s11227-026-08745-6

HFFNet: Hierarchical feature fusion network for lightweight RGB-T semantic segmentation

Wu, X., Zhou, X., Bao, L., Shi, R., Liu, D., Liu, Z., & Zhang, J. (2026) · Neural Networks · doi:10.1016/j.neunet.2026.109510

AgriSafeNet: Leveraging RGB-TIR UAV Remote Sensing Imagery for Transmission Line Detection in Smart Agriculture

Liu, Y., Zhang, W., Chen, X., Ma, Z., Ye, J., Zheng, G. Y., Wang, L., & Hou, W. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3724831

Knowledge-guided and reliability-aware fusion network for robust RGB-thermal road scene segmentation

Guo, Y., Chen, Z., Liu, C., Zhao, Y., Jian, M., & Meng, Q. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.133975

Multimodal Instance Segmentation of Building Façade Damage with Frequency-Decoupled Feature Fusion

Xu, S., Chen, Z., Wang, Y., Shi, Y., Lu, H., Gu, H., & Sun, Z. (2026) · Buildings · doi:10.3390/buildings16173396

Thermal-gradient-guided RGB–thermal fusion for intelligent facade hollow diagnosis

Huang, J., Diao, Y., Du, Y., & Pang, J. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.134137

Cross-modal Depth-privileged Knowledge Distillation for Underwater Salient Object Detection with Only RGB Images

Zhen, F., & Sun, Y. (2026) · IEEE Canadian Atlantic Ocean Symposium (CAOS) · doi:10.1109/caos69069.2026.11666192

Intelligent Recognition of Building Facade Defects: A Multilevel Review from Visual Perception to Engineering Operations and Maintenance

Liu, J., Li, C., Wang, X., & Wang, B. (2026) · Sensors · doi:10.3390/s26175498

DFBNet: Decoupled Foreground-Background Collaborative Segmentation for Low-Light Robotic Garment Grasping

Lv, Y. (2026) · IEEE Conference on Cybernetics and Intelligent Systems · doi:10.1109/cis-ram71614.2026.11668507

LiEAF-Net: A Lightweight Multiscale Elevation-Aware Fusion Network for Multimodal Semantic Segmentation of High-Resolution Remote Sensing Imagery

Sultonov, F., Gong, M.-G., Park, S.-J., Kim, I., Kim, J., Yun, S., & Kang, J. (2026) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2026.3729955

FMAGNet: Foundation Model-Driven Multimodal Asymmetric Gated Network for Semantic Segmentation in Earth Observation

Liu, B., Zou, Q., Li, G., & Yu, W. (2026) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2026.3730457

Multi-modal interaction enhanced segment anything model (MIE-SAM) for RGB-T salient object detection

Li, Z., Zhang, Y. Y., Zhang, S., & Wang, Z. P. (2026) · Neural Networks · doi:10.1016/j.neunet.2026.109586

DNFNet: a brightness-adaptive lightweight RGB–thermal network for day–night UAV wildfire segmentation

Cheng, P., Zhang, L., Wang, B., Liu, J., & Sui, H. (2026) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2026.105572

DSDFNet: Dual-Stream Dense-Feedback Network for RGB-T Semantic Segmentation

Zhang, H., Dong, X., & Du, N. (2026) · International Conference on Advanced Computational Intelligence (ICACI) · doi:10.1109/icaci69731.2026.11677891

RePrior: Reliability-Anchored Factorized Priors for Infrared--Visible Image Fusion under Local Visible-Image DegradationPreprint

Xing, W., Chen, D., Islam, M. A., & Zhou, J. W. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7446598

SQCAFusion: Multi-Scale Scene-Query Cross-Attention for Illumination-Adaptive Infrared and Visible Image FusionPreprint

Chen, Y., Zhang, J., Gao, Y., & Huang, B. (2026) · Research Square · doi:10.21203/rs.3.rs-10142899/v1

TSWNet: Thermal stereo matching via wavelet reconstruction and edge feature enhancement

梅佳莹, Jiang, W., Zhu, X., Cheng, Y., & Fang, Y. (2026) · Infrared Physics & Technology · doi:10.1016/j.infrared.2026.106916

基于异构双分支与频率感知重构的四波段街景语义分割

Jie, 刘. L., Yuhan, 李. L., Juncheng, 李. L., Duan, Q., Linhan, 李. L., Hao, S., Sili, 高. G., Juan, 岳. Y., & Kaijun, 马. M. (2026) · Laser & Optoelectronics Progress · doi:10.3788/lop260697

Depth Adaption SegNet for RGB-T Segmentation

Zhao, S., Zhang, C., Zhu, H., Liu, B., & Zhou, Y. (2026) · Applied Sciences · doi:10.3390/app16199702

Fused-feature driven cross-modal interaction network for infrared-visible image fusion and segmentation

Fan, Z., Li, Y., Shen, Z., Wang, J., Yang, X., & Wang, J. (2026) · Digital Signal Processing · doi:10.1016/j.dsp.2026.106525

Focus on the Hard: SAM-Based Prompt-Guided Refinement for RGB-T Semantic Segmentation

Wang, Y., Tang, H., Shi, Y., Yang, K., Han, J., & Zhang, D. (2026) · IEEE Transactions on Image Processing · doi:10.1109/tip.2026.3728642

Backbone-Preserving Association Refinement for Visible-Thermal Multiple Object Tracking

Huang, X., Lin, M., Sang, R., Yue, Y., García‐Fernández, Á. F., Maskell, S., Zhou, Y., Ma, J., Zhu, X., & Lim, E. G. (2026) · International Conference on Automation and Computing (ICAC) · doi:10.1109/icac70325.2026.11712492

Onboard Remote Sensing and Autonomous Perception for Lunar Rovers: A Survey of Degradation, Multimodal Methods, and Validation EvidencePreprint

Wu, S., Wang, Z., Yu, Z., Zhang, L., Sun, X., Liu, Y., & Chen, H. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7553541

Hand gesture recognition for safe operation of tower cranes: a thermal image-based method using enhanced YOLOv8

Peng, Z., Chi, H.-L., Wu, H., & Zhang, Z. (2026) · Engineering Construction & Architectural Management · doi:10.1108/ecam-01-2026-0162

Multimodal feature fusion for surface defect segmentation of mechanical parts: Combining finite element analysis and RGB Data

Wang, X., & Yan, G. (2026) · Applied Soft Computing · doi:10.1016/j.asoc.2026.116603

Adjusting modal contributions via differential-driven SoftMax fusion for RGB-IR object detection

Yu, H., Zhang, J., Ding, R., Wei, B., Dang, W., Nie, J., Chen, L., Xichuan, Z., & Liu, H. (2026) · Neural Networks · doi:10.1016/j.neunet.2026.109707

A Survey on Degraded Image Segmentation

Chen, L., Fu, Y., Shangguan, J., Xu, J., Peng, Y., & Lyu, F. (2026) · Chinese Journal of Electronics · doi:10.23919/cje.2025.00.245 · Cited by 1

Exploring Dual-to-Single-Encoder Transitions for Real-Time RGB-T Semantic Segmentation

Kim, J., Jung, M., & Moon, B. (2026) · Sensors · doi:10.3390/s26206602

CFEFNet: Cross-Modal Feature Enhancement and Fusion Network for RGB-T Semantic Segmentation

Zhang, Z., & Sun, L. (2026) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn69854.2026.11729509

AI-based multimodal thermal imaging for joint segmentation and registration and automated plantar foot analysis in diabetic foot care

Elfahimi, H., Aferhane, A., Harba, R., Douzi, H., Canals, R., Vilcahuamán, L., & Arbañil, H. (2026) · Smart Health · doi:10.1016/j.smhl.2026.100730

BSIF-Net: Boundary-aware semantic inconsistency fusion network for RGB-T semantic segmentation

Qiu, H., Yang, R., Jiang, J., Zhan, L., Liu, J., Hu, Y., & Zhou, G. (2026) · Neurocomputing · doi:10.1016/j.neucom.2026.135564

HDEFusion: Heterogeneous dual-branch CNN–transformer with feature equilibrium for infrared and visible image fusion

Chen, Y., Zhang, J., Fang, Z., Gao, Y., & Huang, B. (2026) · Knowledge-Based Systems · doi:10.1016/j.knosys.2026.117249

FuseSeg: Semantic segmentation of urban scenes based on RGB and thermal data fusion

Sun, Y., Zuo, W., Yun, P., Wang, H., & Liu, M. (2021) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2020.2993143 · Cited by 270

Embedded Control Gate Fusion and Attention Residual Learning for RGB–Thermal Urban Scene Parsing

Zhou, W., Lv, Y. H., Lei, J., & Yu, L. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3242651 · Cited by 71

ASNet: An adaptive scene-aware network for RGB-thermal urban scene semantic segmentation

Guo, Y., Chen, Z., Rong, X., Liu, C., Song, L., & Li, Y. (2026) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2026.104822 · Cited by 1

ERTFNet: Enhanced RGB-T Fusion Network for semantic segmentation by integrating thermal edge features

Yin, H., Zhang, L., Sun, Y., & Yin, G. (2025) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2025.104421 · Cited by 4

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

Guo, Z., Xu, L., Xu, Q., & Sun, Z. (2021) · Measurement · doi:10.1016/j.measurement.2021.110176 · Cited by 44