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

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U-Net: Convolutional Networks for Biomedical Image Segmentation

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Going deeper with convolutions

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Fully convolutional networks for semantic segmentation

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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

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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

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RFNet: A Redundancy-Reduced and Frequency-Aware Feature Fusion Network for RGB-T Semantic Segmentation

Guo, Y., Chen, Z., Rong, X., Liu, C., & Li, Y. (2024) · IEEE Smart World Congress (SWC) · doi:10.1109/swc62898.2024.00037 · Cited by 1

Boundary-Aware Semantic Bird-Eye-View Map Generation Based on Conditional Diffusion Models

Gao, S., Wang, Q., & Sun, Y. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3564002 · 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

City-4Band: A four-band urban street scene dataset for semantic segmentation

Jie, L. I. U., Li, L., Li, Y., Duan, Q., Yue, J., Hao, S., & Gao, S. (2025) · Infrared Physics & Technology · doi:10.1016/j.infrared.2025.106352 · Cited by 1

MDPNet: Multimodal Diffusion Prior Guided Self-Text Attention Network for Remote Sensing Semantic Segmentation

He, F., Wang, Z., Xu, N., You, Z., & Huang, D. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3648961 · Cited by 1

DCA-UNet: A Cross-Modal Ginkgo Crown Recognition Method Based on Multi-Source Data

Guo, Y., Yu, Y., Li, Y., Chen, M., Kong, W., Zhao, Y., & Liu, F. (2026) · Plants · doi:10.3390/plants15020249 · Cited by 2

MFMINet: Multimodal fusion and cross-layer interaction network for semantic segmentation of high-resolution remote sensing images

Chen, J., Wang, F., Fang, J., Zhu, Y., Zhang, Y.-A., & Hu, Q. (2026) · iScience · doi:10.1016/j.isci.2026.114705 · 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

BFTNet: Boundary-Induced Four-Phase Transformer Network for RGB-Thermal Urban Road Scene Parsing

Zhou, W., Gong, T., Fang, M., & Yu, L. (2024) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2024.3442848 · 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

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

Entity-Guided Multi-Task Learning for Infrared and Visible Image Fusion

Shao, W., Liu, H., Ma, Y., & Wang, R. (2026) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2026.3668472 · 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

Real-time RGB-T semantic segmentation via hierarchical semantic guidance and detail-preserving PIDNet

Li, H., Liu, T., Wu, S., Song, Z., Dong, H., Du, J., & Wang, X. (2026) · Journal of Real-Time Image Processing · doi:10.1007/s11554-026-01903-2 · 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

Glass Detection Network Based on RGB-Infrared Image Fusion

Yu, N., & Tian, Z. (2023) · China Automation Congress (CAC) · doi:10.1109/cac59555.2023.10450174 · 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

Image Fusion Survey: A Novel Taxonomy Integrating Transformer and Recent Approaches

Gwendal, B., Strubel, D., Brisebarre, G., Jean-François, G., Ardabilian, M., & Dellandréa, E. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-88217-3_12 · Cited by 1

Deep Learning-based Segmentation of Thermal Images for Heat Loss Detection in Building Façade

Waqas, A., & Araji, M. T. (2024) · Technology|Architecture + Design · doi:10.1080/24751448.2024.2405415 · 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

Advancing Textile Damage Segmentation: A Novel RGBT Dataset and Thermal Frequency Normalization

Rayhan, F., Joshi, J., Ren, G., Hernandez, L., Petreca, B. B., Baurley, S. L., Bianchi‐Berthouze, N., & Cho, Y. (2025) · Sensors · doi:10.3390/s25072306 · Cited by 1

Rethinking the Role of Infrastructure in Collaborative Perception

Bae, H., Kang, M., Song, M., & Ahn, H. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-91813-1_14 · 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

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

MMNet: RGB-t Semantic Segmentation Network Based on Multi-scale and Adaptively Mutual Enhancement Mechanism

Wang, C., & Wu, T. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-16-9492-9_338 · Cited by 1

HEAT: Incorporating hierarchical enhanced attention transformation into urban road detection

Han, T., Li, C., Chen, S., Wang, Z., Su, J., Wu, Y., & Cai, G. (2023) · IET Intelligent Transport Systems · doi:10.1049/itr2.12360 · Cited by 1

Combining Enhancement and Fusion for Low-Light Visible and Infrared Image

Li, S., Zhang, K., Liang, Y., Zhang, C., & Shangguan, X. (2023) · China Automation Congress (CAC) · doi:10.1109/cac59555.2023.10449977 · Cited by 1

UDA-KB: Unsupervised Domain Adaptation RGB-Thermal Semantic Segmentation via Knowledge Bridge

Guo, Y., Ni, R., Yu, Z., & Yang, B. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-8792-0_5 · Cited by 1

Polarization based urban scenes understanding

Blanchon, M. (2021) · theses.fr (ABES) · doi:10.70675/9eb0b15bzd1bcz473bza318zfc8c58cc92f1 · Cited by 1

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

Two-Stage Robotic Bin Picking of Small Metallic Objects

Herbert, M., Bach, P., Lieret, M., Fürst, J., & Franke, J. E. (2023) · Springer eBooks · doi:10.1007/978-3-031-10071-0_14

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

Detection of People Swimming in Water Reservoirs with the Use of Multimodal Imaging and Machine Learning

Konert, J., Dradrach, A., & Rumiński, J. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-38430-1_33

MMS:Multi-Source Mutual Supervision Semantic Segmentation

Guo, S., Gui, Y., Zhang, M., & Li, W. (2023) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss52108.2023.10281782

An Improved Hybrid Model for Target Detection

Gupta, U. C., Golash, R., Vats, V., & Sharma, K. (2023) · International Conference on Emerging Techniques in Computational Intelligence (ICETCI) · doi:10.1109/icetci58599.2023.10330945

OIPNet: Multimodal Network with Orthogonal Information Processing for Semantic Segmentation in Indoor Scenes

Ye, M., Yu, K., Chen, Z., Guo, Y., & Liu, L. (2023) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001423540277

Use of low-cost drones to map arbovirus vector habitats with multispectral aerial imageryPreprint

Hoang, P. V., Linh, N. P., Long, B. N., Hien, V. B., Velavan, T. P., & Tran, D.-K. (2024) · Research Square · doi:10.21203/rs.3.rs-3950831/v1

Enhancing RGB-T Image Segmentation by Residual Network with Dilated Convolution and Radiation-Guide Conditional Random FieldsPreprint

Chen, Y., Li, X., Zhang, J., Liu, C., Luan, C., Run, G., Zhu, Z., Liu, D., & Wu, X. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4752465

Fuse-Seg: semantic division of Cityscapes based on RGB and Fusion of Thermal Data

Bandi, M., & Reeja, S. R. (2024) · International Conference on Emerging Systems and Intelligent Computing (ESIC) · doi:10.1109/esic60604.2024.10481619

Rgb-D Fusion Network for Glass SegmentationPreprint

Tao, T., Yang, J., Xiao, J., Zheng, H., & Wang, H. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4826321

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

Efficient Multispectral Image Registration Network Based on Grid Point Set Offsets PredictionPreprint

Wang, Z., Zhai, H., Peng, Y., Zhang, X., & Sun, H. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4954140

MIAFusion: Infrared and Visible Image Fusion via Multi-scale Spatial and Channel-Aware Interaction Attention

Lin, T., Lu, M., Jiang, M., & Kong, J. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-8685-5_17

Severity of Flood Damage Estimation from Aerial Scenery

Landa, T. R., & Sandhan, T. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-78456-9_4

Deep Hardware Modality Fusion for Image Segmentation

Liu, Y., Kumawat, S., & Nagahara, H. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-78183-4_28

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

Depth augmentation and cross-attention progressive fusion network for semantic segmentation using RGB-depth images of power equipment

Jia, J., Li, Q., Xu, C. X., Zhang, L., & Zhao, S. (2025) · Journal of Electronic Imaging · doi:10.1117/1.jei.34.2.023064

Thermal Image – Based Panoptic Segmentation using RGB2TIR Translation Model Considering Edge Feature

Kim, S., Lee, D., & Kim, A. (2025) · The Journal of Korea Robotics Society · doi:10.7746/jkros.2025.20.2.226

DynMixMFusion: dynamic mixture of experts multimodal fusion model

Liu, Y., Zhang, Z., Zhu, J., Li, J., & Zhang, Y. (2025) · Journal of Physics Conference Series · doi:10.1088/1742-6596/3036/1/012004

Semantic-Aware Autonomous Vehicle Navigation with Causal Transformers and Q-Learning

Pandya, M., Siddalingaswamy, P. C., & Singh, S. (2025) · ACM Journal on Autonomous Transportation Systems · doi:10.1145/3749992

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

MASTER: Multimodal Segmentation with Text Prompts

Liu, F., Lu, S., Mei, J., & Hu, Y. (2025) · Communications in computer and information science · doi:10.1007/978-981-95-0848-8_18

Boosting Cross-Spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation

Kwon, S. M., Shin, J., Kim, N., Hwang, S., & Choi, Y. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11127724

Prompt-based Multimodal Semantic Communication for Multi-spectral Image Segmentation

Zhang, H., Bo, Y., Zhang, H., & Tao, M. (2025) · IEEE/CIC International Conference on Communications in China (ICCC) · doi:10.1109/iccc65529.2025.11148605

DFN A Depth-Fused Network for Semantic Segmentation of Power Transmission Lines

Chen, K., Zhang, G., Feng, Q., Liu, S., Miao, G., Xiong, J., & Lu, S. (2025) · International Conference on Electronic Electrical Engineering and Automatic Control (EEEAC) · doi:10.1109/eeeac66585.2025.11155615

Driving Safety and Comfort: A Bibliometric Analysis of the Role of Automobile Headlights

Gökova, S. (2025) · Bilge International Journal of Science and Technology Research · doi:10.30516/bilgesci.1653298

Multi-Target Correlation Estimation Technology Based on Line of Sight Matching

Meng, H., He, N., Zhao, C., Guangshan, C., Hu, Y., & Peng, Y. (2025) · Chinese Control Conference (CCC) · doi:10.23919/ccc64809.2025.11178923

A Spatial-Frequency Domain Joint Mechanism Network for Cross-modal Semantic Segmentation

Qu, Y., Zhang, Z., & He, L. (2025) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme59968.2025.11210110

AdaptRGB-t: Adaptive RGB-t semantic segmentation via efficient parameter-tuning with textual guidance

Meng, Y., Yue, Y., Yang, Y., & Fu, M. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.132060

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

HEFNet: Hierarchical Unimodal Enhancement and Multi-modal Fusion for RGB-T Salient Object Detection

Wu, J., Zhang, Q., Zhang, C., Shi, Y., & Zhou, Q. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11228068

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

HFSENet: Hierarchical Fusion Semantic Enhancement Network for RGB-T Semantic Segmentation in Annealing Furnace Operation Area

Yuan, H., Zhang, L., Bao, R., Si, J., Wang, S., & Niu, T. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11247613

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

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

REFusion: A Dual-Stage Network With Repeated Key Feature Embedding for Infrared and Visible Image Fusion

Yuan, Y., Bai, H., Deng, T., Wei, J., Lin, J., Zhao, X., & Shi, J. (2026) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2026.3651133

MMMS: Multi-Modal Multi-Surface Interactive Segmentation

Schön, R., Lorenz, J., Ludwig, K., Kienle, D., & Lienhart, R. W. (2025) · International Workshop on Content-Based Multimedia Indexing (CBMI) · doi:10.1109/cbmi66578.2025.11339342

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

TerrFlat: Physics-Driven Geometry Representation for Structure-Aware Freespace Detection

Yang, J., Wang, L., Shen, M., Du, J., Liu, C., & Chen, Q. J. (2026) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2026.3655205

Cross-Modal Supervised Contrastive Learning for RGB-T Semantic Segmentation

Zhang, C., Xu, T., Tang, Z., & Wu, X.-J. (2026) · Lecture notes in computer science · doi:10.1007/978-981-95-5567-3_9

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

A Multiattention Guided Hierarchical Fusion Network for RGB-T Semantic Segmentation

Zhang, B., Li, Z., Sun, F., Zhao, X., & Zhang, Y. (2026) · IEEE Sensors Journal · doi:10.1109/jsen.2026.3658214

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

TARTS: Training-Free Adaptive Reference-Guided Traversability Segmentation with Automated Footprint Supervision and Experimental Verification

Shi, S., & Zeng, L. (2026) · Electronics · doi:10.3390/electronics15061194

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

Region-Global feature fusion (RGF) algorithm for GM-APD range image and infrared image

Wang, M., Sun, J., Zhou, X., Sining, L. I., Lü, W., Cheng, J., Ni, H., He, R. C., & Yin, S. (2026) · Optics & Laser Technology · doi:10.1016/j.optlastec.2026.115031

Real-time multimodal semantic scene understanding for autonomous UGV navigation

Zhang, Y. (2021) · theses.fr (ABES) · doi:10.70675/a471d7bez2ff1z44feza0b4z4beabc22b5ab

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

Distilling auxiliary RGB–T features for unsupervised semantic segmentation

Padnekar, M., Mitra, K., & Das, S. (2026) · Image and Vision Computing · doi:10.1016/j.imavis.2026.105977

Détection des maladies de vignes par analyse d'images aériennes de drone

Kerkech, M. (2021) · theses.fr (ABES) · doi:10.70675/04476121z29a8z4b9cza0c6z7506fb12787d

Contribution to the improvement of the robustness of perception systems based on multimodal neural networks

Condat, R. (2022) · theses.fr (ABES) · doi:10.70675/1d38c68cz49a7z44b6z8f23z7a2cc73c7bac

Deep multimodal visual data fusion for outdoor scenes analysis in challenging weather conditions

Hu, S. (2023) · theses.fr (ABES) · doi:10.70675/4b9095acz3d26z4982zb375z6890598d175f

Semantic-Guided Multi-Level Collaborative Fusion Network for Visible and Infrared Images

Yuan, L., Xie, C., Yang, M., Tu, X., Li, Q., & Zhu, X. (2026) · Sensors · doi:10.3390/s26092577

Toward All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark

Wang, S., Mei, J., Guan, W., (109515), S. W., Xing, Y., Min, C., & Hu, Y. (2026) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2026.3726376

RGB - Thermal Fusion Techniques for Edge Detection in Low-Visibility Environments

Pathirage, I. M., Lakmali, K. B. N., Sudila, N., & Sudantha, B. H. (2026) · International Conference on Image Processing and Robotics (ICIPRoB) · doi:10.1109/iciprob69625.2026.11498059

UGF-Net: Uncertainty-Guided Fusion for Robust RGB-NIR Traffic Semantic Segmentation in Adverse Weather

Pittala, S., Chavva, S. R., Kasarelli, G. R., & Kumar, P. S. (2026) · World Conference on Computational Science and Technology (WcCST) · doi:10.1109/wccst67302.2026.11496180

CMNet: Cross-modal feature fusion and multi-scale feature perceptual attention network for RGB-T semantic segmentation

Zhang, B., Li, Z., Sun, F., Zhao, X., & Zhang, Y. (2026) · Digital Signal Processing · doi:10.1016/j.dsp.2026.106243

Robust multi-modal segmentation via Cosine Contrastive adversarial attacks and meta-learning adaptation

Liu, C., Wang, R., & Che, W. (2026) · Signal Processing Image Communication · doi:10.1016/j.image.2026.117581

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

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