GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation

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

Densely Connected Convolutional Networks

Huang, G., Liu, Z., Van Der Maaten, L., & Weinberger, K. Q. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.243 · Cited by 48,566

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., & Chen, L.-C. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00474 · Cited by 28,755

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

Fully convolutional networks for semantic segmentation

Shelhamer, E., Long, J., & Darrell, T. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2572683 · Cited by 11,898

Deep High-Resolution Representation Learning for Human Pose Estimation

Sun, K., Xiao, B., Liu, D., & Wang, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00584 · Cited by 5,984

Learning Deconvolution Network for Semantic Segmentation

Noh, H., Hong, S., & Han, B. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.178 · Cited by 4,422

Edge Aware Segmentation Network with Sparse Transformer Fusion for Multimodal Scene Parsing

Wang, C. (2025) · International Conference on Computers, Information Processing and Advanced Education (CIPAE) · doi:10.1109/cipae66821.2025.00063

KR-SWP: Knowledge Reuse for Stripe-Wise Pruning

Huo, Z., Xu, J., Wu, J., Wang, C., Huang, W., & Qian, J. (2025) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2025.3636850

TASeg: Text-aware RGB-T Semantic Segmentation based on Fine-tuning Vision Foundation Models

Yu, M., Cui, T., Chu, Q., Song, W., Yang, Y., & Yue, Y. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11246766

Unsupervised multi-modal domain adaptation for RGB-T Semantic Segmentation

Chen, Z., Lin, C., Zhao, Y., & Tillo, T. (2025) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2025.104573

TASRT:Text-Aware Sparse MoE for RGB–Thermal Semantic SegmentationPreprint

Wang, Y., Chen, H., Yu, X., Yang, H., Zhu, X., & Dong, X. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5856887

Multi-Source and Multimodal Data Fusion for Lifeline Infrastructure Resilience Assessment and Early Warning

Jin, Y., Duan, T., Zhang, H., Li, Q., & Zhu, J. H. (2025) · ASCE International Conference on Computing in Civil Engineering (i3CE) · doi:10.1061/9780784486139.045

Incomplete Modalities Restoration via Hierarchical Adaptation for Robust Multimodal Segmentation

Sun, Y., Dong, W., Wu, P., Feng, M., Huang, T., Li, X., & Shi, G. (2025) · IEEE Transactions on Image Processing · doi:10.1109/tip.2025.3642612

Modality Adaptive Representation Network for Efficient RGB-T Semantic Segmentation

Zhao, S., Jin, Z., & Zhang, Q. (2025) · IEEE Signal Processing Letters · doi:10.1109/lsp.2025.3619880

Residual U-Net enhanced by dynamic receptive fields and attention mechanisms for crack detection in concrete protective structures of highway slopes

Pan, Q., Wei, C., Zhang, L., Tang, Z., & Li, H. (2025) · Insight - Non-Destructive Testing and Condition Monitoring · doi:10.1784/insi.2025.67.10.628

Knowledge-Aware Progressive Fusion Network for Heterogeneous Remote Sensing Image Semantic Segmentation

Geng, J., Zhang, X., Song, S., & Jiang, W. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3647442

TRDAN: lightweight dual-stream attention network with FPGA acceleration for industrial gas leak detection

Meng, Z., Ji, H., & Hu, X. (2026) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-026-05041-2

Complementary Information Mining for Redundancy and Weakly Aligned RGB-T Semantic Segmentation

Wang, Q., Ouyang, J., Shen, T., Gu, Y., Ullah, S., Al-Antary, M. T., Alasmary, H., Waqas, M. M., Tang, B., & Halim, Z. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3654044

Leveraging Vision Foundation Models for RGB-Thermal Semantic Segmentation

Wang, C., & Gong, X. (2026) · Lecture notes in computer science · doi:10.1007/978-981-95-5567-3_30

Hybrid Embedding SAM-Guided Feedback Network for RGB–Thermal Urban Scene Parsing

Yang, X., Sun, Y., Xu, C., Yuan, B., Yang, X., & Yang, Q. (2026) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2026.3660340

A multi-modal discrepancy fusion-based RGB-T segmentation network for robotic scene perception

Yixin, H., Zhiwei, Z., Jun, L., & Zhuang, Y. (2026) · Pattern Recognition Letters · doi:10.1016/j.patrec.2026.02.015

A novel RGB-X semantic segmentation network with cross-modal feature reweighting and local-global feature aggregation

Zhiwei, Z., Zhuang, Y., Liu, Y., & Zhang, X. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.113334

PDPR: Panoramic-depth place recognition through the fusion of visual and geometric-aware features

Alfaro, M., Cabrera, J. J., Gil, A., Reinoso, O. R., & Payá, L. (2026) · Neurocomputing · doi:10.1016/j.neucom.2026.133112

RTRFNet: A Robust Fusion Network for RGB-T Segmentation—Robustness Research against Missing Sensor Modalities

谈, 焜. (2026) · Artificial Intelligence and Robotics Research · doi:10.12677/airr.2026.152061

Du-CIPT: Dual Cross-Modal Interactive Pyramid Transformer for RGB-Thermal salient object detection and segmentation

Wu, J., Du, J., Hao, F., & Hong, J. (2026) · Signal Processing Image Communication · doi:10.1016/j.image.2026.117551

Axial-Relation-Guided Fusion State-Space Model for Optical-Elevation Sensing Image Segmentation

Gao, F., Jin, Z., Gan, Y., Dong, J., & Du, Q. (2026) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2026.3694640

Boosting RGB-D Segmentation by Fusing Multi-Robot Perceptual Knowledge

Liu, J., Zhang, W., Li, W., & Liu, H. (2025) · Asian Conference on Artificial Intelligence Technology (ACAIT) · doi:10.1109/acait67930.2025.11522587

MGANet: Multi-prompt Guided Adaptive SAM for Efficient RGB-Thermal Semantic SegmentationPreprint

Du, Q., Shen, Z., lin, Y. 林., Shen, Y., & Yuan, M. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6867576

HD²FI-Net: Hierarchical Dual-Domain Fusion–Interaction Network for RGB-T Semantic Segmentation

Guo, Z., Fei, B., Liu, D., & Zhang, J. (2026) · International Conference on Multimedia Retrieval · doi:10.1145/3805622.3810707

CMCAF: Conditional Multi-scale Cross-Modal Adaptive Fusion network for RGB-T salient object detection

Wang, Y., Yuan, X., Yue, Z., Kong, Y., & Lin, S. (2026) · Knowledge-Based Systems · doi:10.1016/j.knosys.2026.116471

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

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

Multi-Modal Transformer Networks for Context-Aware Human–Machine Interaction

Reddy, G. V. S., Poornima, K. J., Venu, M., Balasaraswathi, P., Maragathavalli, P., & Sankar, R. (2026) · International Conference on Computing Theory and Wireless Communications (ICCTWC) · doi:10.1109/icctwc68241.2026.11583200

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

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

DIFF-SB: A process-optimized diffusion model for infrared-visible image fusion using Split Bregman

Liu, Z., Zhang, S., & Sun, Z. (2026) · Infrared Physics & Technology · doi:10.1016/j.infrared.2026.106797

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

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

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

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

DG-SegNet: A depth-guided RGB-D semantic segmentation framework for emergency escape ramps toward traffic accident prevention

Hu, Z., Hao, Y., Li, J., Li, G., & Wang, L. (2026) · Traffic Injury Prevention · doi:10.1080/15389588.2026.2713113

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

DMCAF-Net: Dual-branch network with dynamic mask-guided complementary attention for infrared and visible image fusion

Li, J., Zhang, M., Zhang, W., Jiang, W., & Liu, Z. (2026) · Infrared Physics & Technology · doi:10.1016/j.infrared.2026.106942

DCAAFusion: A Diffusion Model-Based Cross-Attention Adaptive Fusion Network for Nighttime Infrared and Visible Image Fusion

Li, J., Cheng, J., & Cui, K. (2026) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn69854.2026.11729185

HEFANet: hierarchical efficient fusion and aggregation segmentation network for enhanced rgb-thermal urban scene parsing

Shen, Z., Pan, Z., Weng, Y., Li, Y., Wang, J., & Wang, J. (2024) · Applied Intelligence · doi:10.1007/s10489-024-05743-0 · Cited by 5

MMSMCNet: Modal Memory Sharing and Morphological Complementary Networks for RGB-T Urban Scene Semantic Segmentation

Zhou, W., Zhang, H., Yan, W., & Lin, W. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3275314 · Cited by 157

Cross-Modality Comprehensive Feature Aggregation Network for Road Scene Segmentation

Yang, Y., Zhang, Z., Hou, H., Zhang, W., & Zhuang, C. (2024) · International Symposium on Computer Science and Intelligent Control (ISCSIC) · doi:10.1109/iscsic64297.2024.00050 · Cited by 1

MMNet: Multi-modal multi-stage network for RGB-T image semantic segmentation

Lan, X., Gu, X., & Gu, X. (2021) · Applied Intelligence · doi:10.1007/s10489-021-02687-7 · Cited by 74

Multi-modal neural networks with multi-scale RGB-T fusion for semantic segmentation

Lyu, Y., Schiopu, I., & Munteanu, A. (2020) · Electronics Letters · doi:10.1049/el.2020.1635 · Cited by 22