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

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

Convolutional neural network-based single-image contrast enhancement using multi-exposure training

Yusuf, S. H., Xu, S. S., Wedajew, G. N., & Chang, C. (2025) · Digital Signal Processing · doi:10.1016/j.dsp.2025.105221 · Cited by 5

Zero-watermarking Algorithm for Audio and Video Matching Verification

Sun, W., Zhao, H., Zhang, X., Sun, Y., Liu, X., Lv, X., & Fan, D. (2022) · AIMS Mathematics · doi:10.3934/math.2022468 · Cited by 5

Research on multi-object detection technology for road scenes based on SDG-YOLOv5

Lv, Z., Wang, R., Wang, Y., Zhou, F., & Guo, N. (2024) · PeerJ Computer Science · doi:10.7717/peerj-cs.2021 · Cited by 7

Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation

Liu, R., Zhang, J., Peng, K., Chen, Y., Cao, K., Zheng, J., Sarfraz, M. S., Yang, K., & Stiefelhagen, R. (2024) · IEEE Intelligent Vehicles Symposium · doi:10.1109/iv55156.2024.10588722 · Cited by 5

CCANet: Cross-Modality Comprehensive Feature Aggregation Network for Indoor Scene Semantic Segmentation

Zhang, Z., Yale, Y., Huifang, H., Fanman, M., Fan, Z., Kangzhan, X., & Chunsheng, Z. (2024) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2024.3455356 · Cited by 5

DIMF-Nets: depth-informed cross-modal fusion in three-stream networks for enhanced unsupervised video object segmentation

Zhang, Y., Yu, P., Liu, T., & Wang, S. (2024) · Journal of Electronic Imaging · doi:10.1117/1.jei.33.5.053049 · Cited by 5

Data Feature Extraction Method of Wearable Sensor Based on Convolutional Neural Network

Wang, B. (2022) · Journal of Healthcare Engineering · doi:10.1155/2022/1580134 · Cited by 5

Cross-domain feature enhancement for unsupervised domain adaptation

Long, S., Wang, S., Xin, Z., Fu, Z., & Wang, B. (2022) · Applied Intelligence · doi:10.1007/s10489-022-03306-9 · Cited by 5

Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation

Liu, Y., Zhang, W., Zhao, G., Zhu, J., Vasilakos, A. V., & Wang, L. (2023) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2023.3336611 · Cited by 5

Scene adaptation network for visual-thermal urban scene semantic segmentation

Zhang, H., Li, Y., & Chan, L. L.-H. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.111166 · Cited by 4

A Multimodal Deep Learning Framework for Accurate Wildfire Segmentation Using RGB and Thermal Imagery

Yue, T., Huang, H., Wang, Q., Song, B., & Chen, Y. (2025) · Applied Sciences · doi:10.3390/app151810268 · Cited by 4

DSDP: Real-Time Asymmetric Dual-Stream Instance Segmentation Embedding Depth-Predictive Architecture for Enhanced Scene Understanding

Chen, M., Li, Q., Nie, W., Liu, J., Geng, J., Ma, Y., & Guan, X. (2025) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2025.3613161 · Cited by 4

Bridging RGB-T image fusion and semantic segmentation via multi-task collaborative learning

Lu, T., Wu, H., Fu, W., Fang, L., & Shutao Li, A. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103988 · Cited by 4

MMFSeg: Multi-Structure Multi-Feature Fusion for Segmentation of Road Potholes

Feng, Z., Guo, Y., Fan, R., & Sun, Y. (2025) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2025.3613629 · Cited by 4

FASFLNet: feature adaptive selection and fusion lightweight network for RGB-D indoor scene parsing

Qian, X., Lin, X., Yu, L., & Zhou, W. (2023) · Optics Express · doi:10.1364/oe.480252 · Cited by 4

Domain Adaptive Thermal Object Detection with Unbiased Granularity Alignment

Shi, C., Zheng, Y., & Chen, Z. (2024) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3665892 · Cited by 4

CIGF-Net: Cross-Modality Interaction and Global-Feature Fusion for RGB-T Semantic Segmentation

Zhiwei, Z., Liu, Y., Xue, W., & Zhuang, Y. (2024) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2024.3462168 · Cited by 4

Rethinking Early-Fusion Strategies for Improved Multimodal Image Segmentation

Shen, Z., Li, Y., Zhang, H., Weng, Y., & Wang, J. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10889359 · Cited by 7

Semantic Segmentation in Thermal Videos: A New Benchmark and Multi-Granularity Contrastive Learning-Based Framework

Zheng, Y. H., Zhou, F., Liang, S., Song, W., & Bai, X. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3300038 · Cited by 4

Semantic Segmentation Algorithm Fusing Infrared and Natural Light Images for Automatic Navigation in Transmission Line Inspection

Yuan, J., Wang, T., Huo, G., Jin, R., & Wang, L. (2023) · Electronics · doi:10.3390/electronics12234810 · Cited by 4

Scalable model for segmenting Cells’ Nuclei using the U-NET architecture

Ghnemat, R., Almodawar, A., & Saraireh, J. A. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-023-18033-7 · Cited by 4

CFDHI-Net: Correlation-Driven Feature Decoupling and Hierarchical Integration Network for RGB-Thermal Semantic Segmentation

Chen, H., Wang, Z., Qin, H., & Mu, X. (2025) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2025.3581609 · Cited by 3

CAFNet: Cross-Modal Adaptive Fusion Network With Attention and Gated Weighting for RGB-T Semantic Segmentation

Fu, M., Sun, H., Chen, Z., & Wei, L. (2025) · IEEE Access · doi:10.1109/access.2025.3595811 · Cited by 3

URMCNet: An Uncertainty Region Modeling and Calibration Network for Power Line Inspection

Liu, Y., Qu, Z., Zheng, G. Y., & Ye, J. (2025) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2025.3606206 · Cited by 3

STRNet: dual-branch synergistic network with interactive fusion for remote sensing semantic segmentation

Zhai, M., Chen, D., Duan, Y., Zhen, Q., Zheng, J., Pei, M., & Guo, X. (2025) · Complex & Intelligent Systems · doi:10.1007/s40747-025-02181-4 · Cited by 3

Beyond RGB: Early Stage Fusion of Thermal and Visual Modalities for Robust Maritime Perception

Kafka, O., Rankl, C., & Moser, D. (2025) · Electronics · doi:10.3390/electronics14234746 · Cited by 3

Surface-Framework structure: A neural network structure for weakening gridding effect in PCB mark-point semantic segmentation

Wang, Y., Song, J., Wang, S., Zhang, Y., He, P. J., & Yang, C. (2023) · PLoS ONE · doi:10.1371/journal.pone.0283809 · Cited by 3

GFA: Generalized Feature Affinity for Semantic Segmentation in Resolution-Degraded Images

Yang, J., Wu, Y., Zhu, Z., Zhao, W., Diao, W., & Fu, K. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3552117 · Cited by 3

Infrared and visible image fusion based on text-image core-semantic alignment and interaction

Li, X., Wang, J., Chen, W., Chen, R., Zhang, G., & Cheng, L. (2025) · Digital Signal Processing · doi:10.1016/j.dsp.2025.105203 · Cited by 3

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

Cascaded embedded-FPN: A cross-modality multi-scale feature fusion network for varied-sized objects semantic segmentation

Chen, Y., Li, X., Luan, C., Li, C., Ma, J., Zhang, J., Liu, D., Wu, X., & Wei, L. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.131081 · Cited by 4

Lightweight cross-guided contextual perceptive network for visible–infrared urban road scene parsing

Liu, J., Zhou, W., Fang, M., Mao, S., & Yang, R. (2024) · Infrared Physics & Technology · doi:10.1016/j.infrared.2024.105167 · Cited by 3

CUFNet: A fusion network based on cross-reconstruction uniqueness for visible and infrared images

Ma, Z., Ma, Y., & Hao, F. (2024) · Digital Signal Processing · doi:10.1016/j.dsp.2024.104670 · Cited by 3

Thermal image-guided complementary masking with multiscale fusion for multi-spectral image semantic segmentation

Chen, Z., Hu, M., & Chen, B. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.110569 · Cited by 3

CLMFNet: Cross-Level Multimodal Fusion Network for RGB-T Semantic Segmentation of Distribution Network Lines

Du, R., Zhang, H., Zhong, H., Huang, Z., & Wang, Y. (2025) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2025.3578136 · Cited by 3

Localization and image of metro vehicle bogie frame using guided waves

Cai, G., Zhang, Y., Liang, K., & Pan, Y. (2022) · Wireless Networks · doi:10.1007/s11276-022-02906-0 · Cited by 3

MA-Net:Mutex attention network for COVID-19 diagnosis on CT images

Zheng, B., Zhu, Y. M., Shi, Q., Yang, D., Shao, Y., & Xu, T. (2022) · Applied Intelligence · doi:10.1007/s10489-022-03431-5 · Cited by 3

Mapping Countrywide Historical Tree Cover Using Semantic Segmentation

Gui, Y., Li, W., Xia, X., Eben, B., Ginzler, C., & Wang, Z. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3532248 · Cited by 3

RoboFireFuseNet: Robust fusion of visible and infrared wildfire imaging for real-time flame and smoke segmentation

Fotiou, D., Mygdalis, V., & Pitas, I. (2026) · Pattern Recognition Letters · doi:10.1016/j.patrec.2026.04.024 · Cited by 2

SFDFNet: Leveraging spatial-frequency deep fusion for RGB-T semantic segmentation

An, G., Geng, Y., Fang, S., & Guo, J. (2025) · Image and Vision Computing · doi:10.1016/j.imavis.2025.105605 · Cited by 2

A weight-sharing based RGB-T image semantic segmentation network with hierarchical feature enhancement and progressive feature fusion

Xue, W., Liu, Y., & Zhuang, Y. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.131023 · Cited by 3

Revisited Visual Saliency Detection with Deep Learning: A Review of Recent Advancements

Kumain, S. C., Singh, M., & Awasthi, L. K. (2025) · ACM Computing Surveys · doi:10.1145/3773697 · Cited by 2

A cross-modal fusion network for visible-infrared transmission line detection

Wang, Y., Li, Y., Huang, N., Liu, Y., & Yang, L. (2025) · Measurement Science and Technology · doi:10.1088/1361-6501/ae2cbd · Cited by 2

P3D: Plug-and-play prompt-driven framework for RGB-thermal semantic segmentation

Sun, Y., Dai, C., Wang, H., Wang, L., Li, W. J., Li, M., Zhang, Y., & Yu, A. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.113429 · Cited by 3

RTNet: a real-time dual-branch network with cross-attention for urban RGB-T semantic segmentation

Li, C., Zhou, W., Qiao, R., Cai, C., & Zhao, J. (2026) · Journal of Real-Time Image Processing · doi:10.1007/s11554-026-01884-2 · Cited by 2

TUNI: Unifying Pre-Training and Fine-Tuning With Modality-Aware Mutual Learning and Rectification for RGB-T Semantic Segmentation

Guo, X., Guo, X., Liu, T., Deng, Z., Peng, Y., Li, X., & Zhou, W. (2026) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2026.3701706 · Cited by 4

Machine learning model for constant volume depletion prediction of the Niger Delta condensate systems

Fadairo, A. S., Olatunji, D. I., Ling, K., Rasouli, V., Adeyemi, G. A., & Gbadamosi, O. (2023) · Petroleum Science and Technology · doi:10.1080/10916466.2023.2243993 · Cited by 2

Progress in multi-modal image semantic segmentation based on deep learning

Zhao, S., & Zhang, Q. (2023) · Journal of Image and Graphics · doi:10.11834/jig.220451 · Cited by 3

Multilevel-based algorithm for hyperspectral image interpretation

Qiu, S., Ye, H., Liao, X., Zhang, B., Zhang, M., & Zeng, Z. (2023) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2023.109033 · Cited by 2

Orchard Areas Segmentation in Remote Sensing Images via Class Feature Aggregate Discriminator

Liu, M., Ren, D., Sun, H., Yang, S. X., & Shao, P. (2022) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2022.3213679 · Cited by 2

Salient Object Detection Based on High-level Semantic Guidance and Multi-modal Interaction

Yang, C., Guan, Z., & Ma, W. (2024) · IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) · doi:10.1109/iaeac59436.2024.10504007 · Cited by 1

红外与可见光图像交互自注意力融合方法

Fan, 杨. Y., Zhishe, 王. W., Jing, 孙. S., & Zhaofa, 余. Y. (2024) · ACTA PHOTONICA SINICA · doi:10.3788/gzxb20245306.0610003 · Cited by 1

Human Body Parsing in Thermal InfraRed Domain

Wang, Z., Shen, K., Wang, D., Shen, H., & Huang, K. (2024) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2024.3438809 · Cited by 1

Pushing one pair of labels apart each time in multi-label learning: from single positive to full labels

Li, X., Wang, X., & Chen, S. (2025) · Science China Information Sciences · doi:10.1007/s11432-023-3979-9 · Cited by 1

3CNet: Cross-modal cooperative correction network for RGB-T semantic segmentation

Guo, Y., Chen, Z., Rong, X., Liu, C., Song, L., & Li, Y. (2025) · Image and Vision Computing · doi:10.1016/j.imavis.2025.105638 · Cited by 1

Evidence-Based Fusion for Low-Quality RGB-T Semantic Segmentation

Liang, W., Zhang, X., Yang, Y., & Shan, C. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3593962 · Cited by 1

Cross-Modal Attention with Adaptive and Hierarchical Fusion for Robust RGB-T Image Segmentation for Safe Driving

Hazra, S., & Bhattacharya, U. (2025) · Proceedings - International Conference on Image Processing · doi:10.1109/icip55913.2025.11084532 · Cited by 3

Pruning-Friendly RGB-T Semantic Segmentation for Real-Time Processing on Edge Devices

Hwang, J. Y., Lee, Y. J., Jung, H. G., & Suhr, J. K. (2025) · Electronics · doi:10.3390/electronics14173408 · Cited by 1

Cross-modal collaborative optimization for semantic segmentation of RGB-T power equipment images

Chen, H., Zhou, Y., Li, Q., & Xu, C. (2025) · Applied Optics · doi:10.1364/ao.566287 · Cited by 1

MsResNet: Multi-scale Edge-Enhanced ResNet for RGB-T Image Segmentation

Adhikari, B., Lei, S., Đurić, Z., & Wijesekera, D. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-01169-5_4 · Cited by 1

CMPFNet: semantic segmentation network for cross-modal phased fusion in extreme light scenes

Han, J., Tian, Z., Gao, K., & Lyu, X. (2025) · Pattern Analysis and Applications · doi:10.1007/s10044-025-01569-9 · Cited by 1

DICFusion: Infrared and Visible Image Fusion via a Deep Integrated and Semantic-Coordinated Network

Wang, Q., Li, Z., Wang, T., Zhang, S., Luo, Y., Bao, F., Chi, N., & Dai, Q. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3625990 · Cited by 1

Large Vision-Language Model-Assisted Information-Rich Semantic Segmentation

Liu, H., Huang, S., Sun, C., Pompili, D., & Gong, J. (2025) · IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS) · doi:10.1109/mass66014.2025.00029 · Cited by 1

SFIFusion: Semantic-frequency integration for task-driven infrared and visible image fusion

Zhou, W., Zuo, L., Wang, Y., Ma, D., Gao, Y., & Yi, Y. (2025) · Signal Processing · doi:10.1016/j.sigpro.2025.110419 · Cited by 1

A dual-branch RGB-T salient object detection via spatial-frequency integration

Yu, X., Huang, J., Wang, Y., & Chen, J. (2026) · The Visual Computer · doi:10.1007/s00371-026-04359-4 · Cited by 1

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

IG-SAM: Implicitly guided SAM for RGB-thermal semantic segmentation

Zhang, Q., Xing, J., Zhang, H., Yan, R., Hao, M., Yan, L., & Li, Z. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.132804 · Cited by 1

A method for steel crack detection based on multi-spectral image fusion

Duan, R., Yan, Z., Huang, P., Shi, M., Li, S., & Hu, Q. (2026) · Measurement · doi:10.1016/j.measurement.2026.123205 · Cited by 1

Cross-modal Augmentation: A Data Augmentation Scheme for RGB-Thermal Semantic Segmentation

Lai, W., Hu, X., Liu, Z., & Jiang, Y. (2023) · IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT) · doi:10.1109/iccasit58768.2023.10351626 · Cited by 1

FCPENet: Feature Complementary Property Enhancement Network for RGB-Thermal Semantic Segmentation

Wang, Q., Song, H., Yin, C., Wang, Q., Wu, H. R., & Shen, T. (2023) · International Conference on Information Systems and Computing Technology (ISCTech) · doi:10.1109/isctech60480.2023.00050 · Cited by 1

Robust semantic segmentation method of urban scenes in snowy environment

Yin, H., Yin, G., Sun, Y., Zhang, L., & Tian, Y. (2024) · Machine Vision and Applications · doi:10.1007/s00138-024-01540-4 · Cited by 1

Saliency guided progressive fusion of infrared and polarization for military images with complex backgrounds$$^{\star }$$

Lao, Y., Zhang, H., Zhang, X., Dou, J., & Di, J. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-19659-x · Cited by 1

GLAD: A Global-Attention-Based Diffusion Model for Infrared and Visible Image Fusion

Guo, H., Chen, M., Li, K., Su, H., & Lv, P. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-5600-1_30 · Cited by 1

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

Unlocking Drone Perception in Low AGL Heights: Progressive Semi-Supervised Learning for Ground-to-Aerial Perception Knowledge Transfer

Hu, J., Fan, C., Özay, M., Hua, F., Gao, Y., & Lam, T. L. (2025) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2025.3564977 · Cited by 1

CSANet: Context–Spatial Awareness Network for RGB-T Urban Scene Understanding

Li, R., Wang, Z., Guo, J., & Zhang, C. (2025) · Journal of Imaging · doi:10.3390/jimaging11060188 · Cited by 1

Spectral-aware Global Fusion for RGB-Thermal Semantic Segmentation

Zhang, C., Wan, Z., Stepputtis, S., Sycara, K. P., & Xie, Y. (2025) · Proceedings - International Conference on Image Processing · doi:10.1109/icip55913.2025.11084451 · Cited by 1

Open-RGBT: Open-Vocabulary RGB-T Zero-Shot Semantic Segmentation in Open-World Environments

Yu, M., Yue, Y., Yang, L., He, X., Yang, Y., & Fu, M. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11127432 · Cited by 2

SEANet: RGB and Thermal Maritime Panoptic Dataset and Intermodal Alignment Procedure

Kafka, O., Kaufmann, J., & Rankl, C. (2025) · IEEE International Forum on Research and Technology for Society and Industry (RTSI) · doi:10.1109/rtsi64020.2025.11212215 · Cited by 1

2021 Index IEEE Transactions on Image Processing Vol. 30

(2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2022.3142569 · Cited by 1

Network Audio Data and Music Composition Teaching Based on Heterogeneous Cellular Network

Zhang, Q. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/9329856

RoI Uncertainty for RGB-Thermal Image Segmentation

Hu, J., Gu, X., Wu, Y., & Gu, X. (2022) · International Conference on Machine Learning and Machine Intelligence (MLMI) · doi:10.1145/3568199.3568220

Improving information fusion in deep learning

Don, D. P. M. K. (2023) · Queensland University of Technology · doi:10.5204/thesis.eprints.241291

A Simple and Effective Method for RGB-T Salient Object Detection

Liu, Z., Zhu, B., Tan, Y., & Chu, H. (2022) · IEEE Smart World Congress (SWC) · doi:10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00187

A Study of Aerial Image-Based 3D Reconstructions in a Metropolitan Area

Ruano, S., & Smolić, A. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-45725-8_15

A Real-time Semantic Segmentation based on Self- attention and Contextual Information

Cao, X., Deng, A., & Zhang, Z. (2023) · IEEE International Conference on Frontiers Technology of Information and Computer (ICFTIC) · doi:10.1109/icftic59930.2023.10455812

DCFNet: Dense Complementary Fusion for RGB-Thermal Urban Scene Perception

Zhang, Y.-W. M., Zhang, G., & Hu, X. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-4399-5_30

Semantic Segmentation for Remote Sensing Images Based on Global And Local Features Integration

Guo, Q., & Zhu, S. (2024) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss53475.2024.10640783

MSCMFusion: Multi-Stage Cross-Modal Fusion for Low-light Environments

Sun, Y., Wei, S., Sun, P., Li, B., Li, Q., & Li, H. (2024) · International Conference on Signal Processing · doi:10.1109/icsp62129.2024.10846341

Edge-Supervised Attention-Aware Fusion Network for RGB-T Semantic Segmentation

Wang, M., Zhu, Z., Wang, Y., Tu, R., Weng, J., & Yu, X. (2025) · Electronics · doi:10.3390/electronics14081489

FuseForm: Multimodal Transformer for Semantic Segmentation

McMillen, J., & Yılmaz, Y. (2025) · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) · doi:10.1109/wacvw65960.2025.00070

RNOSMamba: Boosting Road Negative Obstacles Segmentation via Vision Mamba from RGB and Depth Images

Dai, Y., & Cui, Z. (2025) · IEEE Intelligent Vehicles Symposium · doi:10.1109/iv64158.2025.11097679

Real-Time Multispectral Semantic Segmentation Network Utilizing Feature Frequency Decomposition and Spatial Division Distillation for Autonomous Driving

Yang, Y., & Sun, W. (2025) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2025.3599549

Infrared-optical image segmentation using a potts prior and hierarchical bayesian model

Li, W., Puhan, Z., Ning Chu, A., & Ali Mohammad-djafari, A. (2025) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-025-00681-4

MMPX: Multi-modal Mamba Prompter to Large Vision Foundation Model for RGB-X Semantic Segmentation

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