Vision-Language Models for Vision Tasks: A Survey

Deep Residual Learning for Image Recognition

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Random Forests

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Attention Is All You Need

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Very Deep Convolutional Networks for Large-Scale Image Recognition

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ImageNet classification with deep convolutional neural networks

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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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ImageNet: A large-scale hierarchical image database

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Support-vector networks

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VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model

Wang, S., Cao, X., Zhang, J., Yuan, Z., Shan, S., Chen, X., & Gao, W. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3683747 · Cited by 49

Multiple Information Prompt Learning for Cloth-Changing Person Re-Identification

Wei, S., Gao, Z., Ma, C., Zhao, Y., Guan, W., & Chen, S. (2025) · IEEE Transactions on Image Processing · doi:10.1109/tip.2025.3531217 · Cited by 19

Surgical video workflow analysis via visual-language learning

Li, P., Shu, X., Feng, C.-M., Feng, Y., Zuo, W., & Tang, J. (2025) · npj Health Systems · doi:10.1038/s44401-024-00010-3 · Cited by 21

The Synergy of Seeing and Saying: Revolutionary Advances in Multi-modality Medical Vision-Language Large Models

Li, X., Sun, Y., Lin, J., Li, L., Feng, T., & Yin, S. (2025) · Artificial Intelligence Science and Engineering · doi:10.23919/aise.2005.000007 · Cited by 20

From Fragment to One Piece: A Review on AI-Driven Graphic Design

Zou, X., Zhang, W., & Zhao, N. (2025) · Journal of Imaging · doi:10.3390/jimaging11090289 · Cited by 25

Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction

Khan, M. T., Chen, L., Ng, Y. H., Feng, W., Tan, N. Y. J., & Moon, S. K. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-0887-7_31 · Cited by 18

GUing: A Mobile GUI Search Engine using a Vision-Language Model

Wei, J., Courbis, A.-L., Lambolais, T., Xu, B., Bernard, P. L., Dray, G., & Maalej, W. (2024) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3702993 · Cited by 25

LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit

Gong, R., Yang, Y., Gu, S., Huang, Y., Lv, C., Zhang, Y., Tao, D., & Liu, X. (2024) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2024.emnlp-industry.12 · Cited by 33

Vision-language models for automated video analysis and documentation in laparoscopic surgery: a proof-of-concept study

Stueker, E. H., Kolbinger, F. R., Saldanha, O. L., Digomann, D., Pistorius, S. R., Oehme, F., van Treeck, M., Ferber, D., Loeffler, C. M. L., Weitz, J., et al. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000003069 · Cited by 17

A Systematic Review of Machine Vision Applications in Factory and Manufacturing Processes: From Quality Control to Predictive Diagnostics

Kim, S., Nguyen, T. P., & Yoon, J. (2025) · International Journal of Precision Engineering and Manufacturing-Green Technology · doi:10.1007/s40684-025-00769-2 · Cited by 17

AI-enabled scientific revolution in the age of generative AI: second NSF workshop report

Karpatne, A., Deshwal, A., Jia, X., Ding, W. Y., Steinbach, M. S., Zhang, A., & Kumar, V. (2025) · npj Artificial Intelligence · doi:10.1038/s44387-025-00018-6 · Cited by 17

Visual Grounding in 2D and 3D: A unified perspective and survey

Guo, K., Huang, Y., Jia, T., Song, X., Sun, S., Wei, H., Han, X.-F., Huang, S., Strisciuglio, N., & Li, S. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103625 · Cited by 19

Foundation Models and Biometrics: A Survey and Outlook

Shahreza, H. O., & Marcel, S. (2025) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2025.3602233 · Cited by 20

Multimodal Driver Condition Monitoring System Operating in the Far-Infrared Spectrum

Knapik, M., Cyganek, B., & Balon, T. (2024) · Electronics · doi:10.3390/electronics13173502 · Cited by 17

Multimodal Integration in Large Language Models: A Case Study with Mistral LLMPreprint

Sulaiman, N., & Hamzah, F. (2024) · doi:10.31219/osf.io/9y5ds · Cited by 17

2D Object Detection: A Survey

Malagoli, E., & Persio, L. D. (2025) · Mathematics · doi:10.3390/math13060893 · Cited by 19

Creative combinational design through generative AI in different dimensional representations: An exploration

Wang, B., Han, J., Zhao, X., Yin, Y., Chen, L., & Childs, P. (2025) · Design and Artificial Intelligence · doi:10.1016/j.daai.2025.100006 · Cited by 17

Automating traffic model enhancement with AI research agent

Guo, X., Yang, X., Peng, M., Lu, H., Zhu, M., & Yang, H. (2025) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2025.105187 · Cited by 18

DriveAgent: Multi-Agent Structured Reasoning With LLM and Multimodal Sensor Fusion for Autonomous Driving

Hou, X., Wang, W., Yang, L., Lin, H., Feng, J., Min, H., & Zhao, X. (2025) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2025.3619807 · Cited by 16

Toward smart aquaculture: A review of multimodal methods, datasets, and applications from the modality perspective

Zhang, Q., Wang, S., Zhang, T., Ren, G., Zhang, L., Wang, Y., Zheng, B., Li, J., & Zheng, H. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.111227 · Cited by 19

AR-assisted human-robot collaborative assembly system: Integrating visual language model and deep reinforcement learning for task planning and seamless interactive guidance

Liu, C., Tang, D., Zhu, H., Zhang, Z., Wang, L., & Nie, Q. (2025) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2025.11.019 · Cited by 16

Generative artificial intelligence in chemical engineering spans multiple scales

Decardi‐Nelson, B., Alshehri, A. S., & You, F. (2024) · Frontiers in Chemical Engineering · doi:10.3389/fceng.2024.1458156 · Cited by 16

ViDDAR: Vision Language Model-Based Task-Detrimental Content Detection for Augmented Reality

Xiu, Y., Scargill, T., & Gorlatova, M. A. (2025) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2025.3549147 · Cited by 21

Distraction is All You Need for Multimodal Large Language Model Jailbreaking

Yang, Z., Fan, J., Yan, A., Gao, E., Lin, X., Li, T., Mo, K., & Dong, C. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.00884 · Cited by 16

Automating the Enterprise with Foundation Models

Wornow, M., Narayan, A., Opsahl-Ong, K., McIntyre, Q., Shah, N., & Ré, C. (2024) · Proceedings of the VLDB Endowment · doi:10.14778/3681954.3681964 · Cited by 15

Image Recognition Performance of GPT-4V(ision) and GPT-4o in Ophthalmology: Use of Images in Clinical Questions

Tomita, K., Nishida, T., Kitaguchi, Y., Kitazawa, K., & Miyake, M. (2025) · Clinical ophthalmology · doi:10.2147/opth.s494480 · Cited by 17

Integrating Vision‐Language Models for Accelerated High‐Throughput Nutrition Screening

Ma, P., Wu, Y., Yu, N., Jia, X., He, Y., Zhang, Y., Michael Backes, A., Wang, Q., & Wei, C. (2024) · Advanced Science · doi:10.1002/advs.202403578 · Cited by 15

Contextual Emotion Recognition using Large Vision Language Models

Etesam, Y., Yalçın, Ö. N., Zhang, C., & Lim, A. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10802538 · Cited by 23

Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy

Pattnayak, P., Patel, H. L., Kumar, B., Agarwal, A., Banerjee, I., Panda, S., & Kumar, T. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-14041-8_4 · Cited by 30

Libra: Leveraging Temporal Images for Biomedical Radiology Analysis

Zhang, X., Meng, Z., Lever, J., & Ho, E. S. L. (2025) · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · doi:10.18653/v1/2025.findings-acl.888 · Cited by 19

Causal Interventional Prompt Tuning for Few-Shot Out-of-Distribution Generalization

Wen, J., Liu, Y. X., Huang, C., Liu, C., Xu, Y. D., & Cao, X. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3621250 · Cited by 16

EASI-Tex: Edge-Aware Mesh Texturing from Single Image

Perla, S. R. K., Wang, Y., Amiri, A. M., & Zhang, H. (2024) · ACM Transactions on Graphics · doi:10.1145/3658222 · Cited by 22

Self-supervised visual–textual prompt learning for few-shot grading of gastric intestinal metaplasia

Chen, X., Zheng, X., Li, Z., Ma, M., & Zhang, M. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.112303 · Cited by 14

MFMS: Learning Modality-Fused and Modality-Specific Features for Deepfake Detection and Localization Tasks

Zhang, Y., Miao, C., Luo, M., Li, J., Deng, W., Yao, W., Li, Z., Hu, B., Feng, W., Gong, T., et al. (2024) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3664647.3688984 · Cited by 16

Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data

Fergus, P., Chalmers, C., Matthews, N., Nixon, S., Burger, A., Hartley, O., Sutherland, C. S., Lambin, X., Longmore, S. N., & Wich, S. A. (2024) · Sensors · doi:10.3390/s24248122 · Cited by 16

MERGE: multimodal-enhanced representation and guided ensemble for pneumonia recognition in chest X-ray images

Zheng, Z., Wu, H., Lv, L., Bardou, D., Niu, S., & Yu, G. (2025) · The Journal of Supercomputing · doi:10.1007/s11227-025-07409-1 · Cited by 14

KAID: Knowledge-Aware Interactive Distillation for Vision-Language Models

Zhang, D., Wang, F., Li, B., Zhao, Z., Gao, J., & Li, X. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3755008 · Cited by 17

MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries

Ghosh, A., Acharya, A., Jha, P., Saha, S., Gaudgaul, A., Majumdar, R., Chadha, A. R., Jain, R., Sinha, S., & Agarwal, S. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-56069-9_8 · Cited by 13

Leveraging Large Vision-Language Model for Better Automatic Web GUI Testing

Wang, S., Wang, S., Fan, Y., Li, X., & Liu, Y. (2024) · IEEE International Conference on Software Maintenance (ICSM) · doi:10.1109/icsme58944.2024.00022 · Cited by 18

Consistent prompt learning for vision-language models

Zhang, Y., & Tian, X. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.112974 · Cited by 15

Multimodal artificial intelligence models for radiology

Tariq, A., Banerjee, I., Trivedi, H., & Gichoya, J. W. (2025) · BJR|Artificial Intelligence · doi:10.1093/bjrai/ubae017 · Cited by 14

Enhancing cross-domain generalization by fusing language-guided feature remapping

Qiao, Z., Shi, D., Jin, S., Shi, Y., Jing, L., & Qiu, C. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103029 · Cited by 14

Towards deployment-centric multimodal AI beyond vision and language

Liu, X., Zhang, J., Zhou, S., van der Plas, T. L., Vijayaraghavan, A., Grishina, A., Zhuang, M., Schofield, D., Tomlinson, C., Wang, Y., et al. (2025) · Nature Machine Intelligence · doi:10.1038/s42256-025-01116-5 · Cited by 16

Learning Positive–Negative Prompts for Open-Set Remote Sensing Scene Classification

Sun, H., Chen, H., Chen, W., Wang, C., Xie, W., & Lu, X. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3599188 · Cited by 13

SwiftSketch: A Diffusion Model for Image-to-Vector Sketch Generation

Arar, E., Frenkel, Y., Cohen‐Or, D., Shamir, A., & Vinker, Y. (2025) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/3721238.3730612 · Cited by 12

Integrating hierarchical segmentation and vision-language reasoning for spatially complex and occluded MEP point clouds

Li, M., Gan, V. J. L., & Wang, B. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106455 · Cited by 12

TherAIssist: Assisting Art Therapy Homework and Client-Practitioner Collaboration through Human-AI Interaction

Liu, D., Bai, J., Zhang, Z., Zhang, Y., Zhang, Z., Zhao, J., & An, P. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3749497 · Cited by 15

What Matters in Constructing a Visual Servoing Scheme: A Review of Key Issues and Solutions

Xu, F., Wang, H., & Gao, H. (2025) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2025.3605943 · Cited by 12

TeDFL: Toward Text-Driven Few-Shot Learning for Forest Tree Species Classification With Airborne Hyperspectral Images

Hu, L., He, W. P., Zhang, L., & Zhang, H. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3624074 · Cited by 12

Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial Settings

Moenck, K., Thieu, D. T., Koch, J., & Schüppstuhl, T. (2024) · Procedia CIRP · doi:10.1016/j.procir.2024.10.084 · Cited by 13

From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehave

Fuchs, M., Genty, É., Bangerter, A., Zuberbühler, K., Odobez, J., & Coţofrei, P. (2025) · International Journal of Computer Vision · doi:10.1007/s11263-025-02484-6 · Cited by 12

IDEA: Image description enhanced CLIP-adapter for image classification

Ye, Z., Jiang, F., Wang, Q., Huang, K., & Huang, J. (2025) · Pattern Recognition · doi:10.1016/j.patcog.2025.112224 · Cited by 17

A Survey of Large Language Models in Mental Health Disorder Detection on Social Media

Ge, Z., Hu, N., Li, D., Wang, Y., Qi, S., Xu, Y., Han, S., & Zhang, J. Y. (2025) · IEEE International Conference on Data Engineering Workshops (ICDEW) · doi:10.1109/icdew67478.2025.00027 · Cited by 15

Multimodal AI for UAV: Vision–Language Models in Human– Machine Collaboration

Krupáš, M., Urblík, Ľ., & Zolotová, I. (2025) · Electronics · doi:10.3390/electronics14173548 · Cited by 12

LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking

Ma, Y., Wei, T., Zhong, N., Mei, J., Hu, T., Wen, L., Yang, X., Shi, B., & Liu, Y. (2025) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2025.3626711 · Cited by 25

Foundation Model-Based Spectral–Spatial Transformer for Hyperspectral Image Classification

Huang, L., Chen, Y., & He, X. Z. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3456129 · Cited by 14

VLLFL: A Vision-Language Model Based Lightweight Federated Learning Framework for Smart AgriculturePreprint

Li, L., Huang, Y., Li, J., Chen, D., Pu, L., & Yao, H. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6828983 · Cited by 12

Sparks of Large Audio Models: A Survey and Outlook

Latif, S., Shoukat, M., Shamshad, F., Usama, M., Ren, Y., Cuayáhuitl, H., Wang, W., Zhang, X., Togneri, R., Cambria, E., et al. (2023) · arXiv · doi:10.48550/arxiv.2308.12792 · Cited by 17

When Generative Artificial Intelligence Meets Extended Reality: A Systematic Review

Ning, X., Zhuo, Y., Wang, X., Sio, C.-I., & Lee, L. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2565392 · Cited by 13

You are my eyes: Integrating human intelligence and LLMs in AR-assisted motion planning for industrial mobile robots

Liu, S., Xie, J., Wang, X., & Qiao, X. (2025) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2025.103174 · Cited by 11

Vision-Language Models for Highway Roadside Safety Management: A Comparative Study

Sadeghi, M., Mansouri, A., & Erfani, A. (2025) · Journal of Management in Engineering · doi:10.1061/jmenea.meeng-7141 · Cited by 11

A Systematic Review of Recent Models for Agri-Food Supply Chain Management With Emphasis on the Application of Artificial Intelligence and Sustainability

Herrera-Granda, I. D., Alemany, M. M. E., Peluffo-Ordóñez, D. H., Herrera-Granda, E. P., & D’Ambrosio, G. (2026) · IEEE Access · doi:10.1109/access.2026.3657974 · Cited by 11

Vision-language models for zero-shot weed detection and visual reasoning in UAV-based precision agriculture

Nasir, M. F., Rehman, M. U., & Hussain, I. (2026) · Frontiers in Plant Science · doi:10.3389/fpls.2025.1735096 · Cited by 11

Generative AI and LLM applications in renewable energy and smart grids: a systematic review for the sustainable energy transition

Cali, Ü., Halden, U., Andoni, M., Çatak, F. Ö., Chen, S., Couraud, B., Kantar, E., Knapper, S., Küçükdemiral, İ. B., Kusetoğulları, H., et al. (2026) · Artificial Intelligence Review · doi:10.1007/s10462-026-11545-2 · Cited by 12

Learning to Learn Better Visual Prompts

Wang, F., Huang, W., Yang, S., Fan, Q., & Lan, L. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i6.28343 · Cited by 12

Vision-language pre-training via modal interaction

Cheng, H., Ye, H., Zhou, X., Liu, X., Chen, F., & Wang, M. (2024) · Pattern Recognition · doi:10.1016/j.patcog.2024.110809 · Cited by 12

PC 2 : Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval

Duan, Y., Gu, Z., Ying, Z., Qi, L., Meng, C., & Shi, Y. (2024) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3664647.3680860 · Cited by 12

Would Deep Generative Models Amplify Bias in Future Models?

Chen, T., Hirota, Y., Otani, M., García, N., & Nakashima, Y. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01030 · Cited by 18

GIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction

Ruan, J., Gao, J., Xie, M., Xiang, S., Yu, Z., Liu, T., Fu, Y., & Qu, X. (2024) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3664647.3680843 · Cited by 15

DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent

Chang, C.-C., Ho, C.-T., Li, Y., Chen, Y., & Ren, H. M. (2025) · International Symposium on Physical Design · doi:10.1145/3698364.3705347 · Cited by 16

CLIP-Driven Transformer for Weakly Supervised Object Localization

Chen, Z., Shen, Y., Cao, L., Zhang, S., & Ji, R. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3548704 · Cited by 11

VaVLM: Toward Efficient Edge-Cloud Video Analytics With Vision-Language Models

Zhang, Y., Wang, H., Bai, Q., Liang, H., Zhu, P., Muntean, G., & Li, Q. (2025) · IEEE Transactions on Broadcasting · doi:10.1109/tbc.2025.3549983 · Cited by 14

AeroVerse: UAV-Agent Benchmark Suite for Simulating, Pre-Training, Finetuning, and Evaluating Aerospace Embodied Foundation Models

Yao, F., Yue, Y., Liu, Y., Wang, Z., Jin, L., Zhao, B., Zhao, J., Sun, X., & Fu, K. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3697634 · Cited by 11

A temporal–spectral fusion transformer with subject-specific adapter for enhancing RSVP-BCI decoding

Li, X., Wei, W., Qiu, S., & He, H. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106844 · Cited by 12

Integrating advanced vision-language models for context recognition in risks assessment

Rodriguez-Juan, J., Ortiz-Pérez, D., García‐Rodríguez, J., Tomás, D., & Nalepa, G. J. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.129131 · Cited by 11

Advancing the Understanding and Evaluation of AR-Generated Scenes: When Vision-Language Models Shine and Stumble

Duan, L., Xiu, Y., & Gorlatova, M. A. (2025) · IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · doi:10.1109/vrw66409.2025.00039 · Cited by 10

Eye Gaze as a Signal for Conveying User Attention in Contextual AI Systems

Wilson, E., Sendhilnathan, N., Burlingham, C. S., Mansour, Y., Cavin, R., Tetali, S. D., Fernandes, A. S., & Proulx, M. J. (2025) · ACM Symposium on Eye Tracking Research and Applications (ETRA) · doi:10.1145/3715669.3727349 · Cited by 10

UP-Person: Unified Parameter-Efficient Transfer Learning for Text-Based Person Retrieval

Liu, Y., Li, Y., Lan, X., Yang, W., Liu, Z., & Liao, Q. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3588406 · Cited by 10

A survey on physical adversarial attacks against face recognition systems

Wang, M., Zhou, J., Li, T., Meng, G., & Chen, K. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.132485 · Cited by 10

Envisioning Medclip: A Deep Dive into Explainability for Medical Vision-Language Models

Hashmi, A. U. R., Mahapatra, D., & Yaqub, M. K. (2024) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi56570.2024.10635843 · Cited by 9

Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following

Gupta, A., Vuillecard, P., Farkhondeh, A., & Odobez, J. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00066 · Cited by 12

Patrol Agent: An Autonomous UAV Framework for Urban Patrol Using on Board Vision Language Model and on Cloud Large Language Model

Yuan, Z., Xie, F., & Ji, T. (2024) · International Conference on Robotics and Computer Vision (ICRCV) · doi:10.1109/icrcv62709.2024.10758606 · Cited by 10

A Dual-State-Based Surface Anomaly Detection Model for Rail Transit Trains Using Vision-Language Model

Lei, K., & Qi, Z. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3534228 · Cited by 9

Large Language Models as Few-Shot Defect Detectors for Additive Manufacturing

Fang, Q., Xiong, G., Wang, F., Shen, Z., Dong, X., & Wang, F. (2024) · China Automation Congress (CAC) · doi:10.1109/cac63892.2024.10865554 · Cited by 10

MIF: Multi-source information fusion for few-shot classification with CLIP

Chen, J., Yuan, H., & Xie, B. (2025) · Pattern Recognition Letters · doi:10.1016/j.patrec.2025.03.025 · Cited by 9

Evaluation of Thermal Comfort in Urban Commercial Space with Vision–Language-Model-Based Agent Model

Zhang, D., Xiong, Z., & Zhu, X. (2025) · Land · doi:10.3390/land14040786 · Cited by 9

Vision-Language Model-Based Local Interpretable Model-Agnostic Explanations Analysis for Explainable In-Vehicle Controller Area Network Intrusion Detection

Lee, J.-H., & Rew, J. (2025) · Sensors · doi:10.3390/s25103020 · Cited by 9

VL-PAW: A Vision–Language Dataset for Pear, Apple and Weed

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