{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T04:19:13Z","timestamp":1783052353764,"version":"3.54.6"},"reference-count":39,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Visual Communication and Image Representation"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.jvcir.2026.104869","type":"journal-article","created":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T18:03:48Z","timestamp":1781201028000},"page":"104869","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["LARANet: A lightweight defect detection network with reinforcement-guided perception and energy-aware statistical attention"],"prefix":"10.1016","volume":"119","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8840-352X","authenticated-orcid":false,"given":"Yuhan","family":"Shao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3723-7584","authenticated-orcid":false,"given":"Yu","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5993-1665","authenticated-orcid":false,"given":"Taolue","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2241-3955","authenticated-orcid":false,"given":"Zixuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jvcir.2026.104869_b1","doi-asserted-by":"crossref","unstructured":"A. Baitieva, D. Hurych, V. Besnier, et al., Supervised anomaly detection for complex industrial images, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2024, pp. 17754\u201317762.","DOI":"10.1109\/CVPR52733.2024.01681"},{"issue":"12","key":"10.1016\/j.jvcir.2026.104869_b2","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1007\/s10462-024-10956-3","article-title":"Surface defect inspection of industrial products with object detection deep networks: A systematic review","volume":"57","author":"Ma","year":"2024","journal-title":"Artif. Intell. Rev."},{"key":"10.1016\/j.jvcir.2026.104869_b3","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2023.103820","article-title":"CANet: Context-aware aggregation network for salient object detection of surface defects","volume":"93","author":"Wan","year":"2023","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.jvcir.2026.104869_b4","article-title":"Global context guided refinement and aggregation network for lightweight surface defect detection","author":"Yan","year":"2025","journal-title":"Pattern Recognit."},{"issue":"10","key":"10.1016\/j.jvcir.2026.104869_b5","doi-asserted-by":"crossref","first-page":"4398","DOI":"10.1007\/s11263-024-02096-6","article-title":"Benchmarking object detection robustness against real-world corruptions","volume":"132","author":"Liu","year":"2024","journal-title":"Int. J. Comput. Vis."},{"issue":"5","key":"10.1016\/j.jvcir.2026.104869_b6","doi-asserted-by":"crossref","first-page":"3465","DOI":"10.1007\/s10845-024-02416-0","article-title":"Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography","volume":"36","author":"Bimrose","year":"2025","journal-title":"J. Intell. Manuf."},{"issue":"4","key":"10.1016\/j.jvcir.2026.104869_b7","doi-asserted-by":"crossref","first-page":"1407","DOI":"10.1007\/s10845-023-02119-y","article-title":"Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing","volume":"35","author":"Herzog","year":"2024","journal-title":"J. Intell. Manuf."},{"key":"10.1016\/j.jvcir.2026.104869_b8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TIM.2023.3318676","article-title":"Sensing and nondestructive testing applications of terahertz spectroscopy and imaging systems: State-of-the-art and state-of-the-practice","volume":"72","author":"Nsengiyumva","year":"2023","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"1","key":"10.1016\/j.jvcir.2026.104869_b9","doi-asserted-by":"crossref","DOI":"10.1007\/s11704-021-0244-9","article-title":"Improving accuracy of automatic optical inspection with machine learning","volume":"16","author":"Tong","year":"2022","journal-title":"Front. Comput. Sci."},{"key":"10.1016\/j.jvcir.2026.104869_b10","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111897","article-title":"MPA-YOLO: Steel surface defect detection based on improved YOLOv8 framework","author":"Zhou","year":"2025","journal-title":"Pattern Recognit."},{"issue":"35","key":"10.1016\/j.jvcir.2026.104869_b11","doi-asserted-by":"crossref","first-page":"83535","DOI":"10.1007\/s11042-024-18872-y","article-title":"YOLO-based object detection models: A review and its applications","volume":"83","author":"Vijayakumar","year":"2024","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.jvcir.2026.104869_b12","article-title":"A cross-view masked contrastive learning method for intelligent pipeline platform with unlabeled samples","author":"Zhao","year":"2026","journal-title":"IEEE\/ASME Trans. Mechatronics"},{"key":"10.1016\/j.jvcir.2026.104869_b13","first-page":"1","article-title":"A MFL mechanism-based self-supervised method for defect detection with limited labeled samples","volume":"72","author":"Zhao","year":"2023","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.jvcir.2026.104869_b14","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2024.115060","article-title":"WSS-YOLO: An improved industrial defect detection network for steel surface defects","volume":"236","author":"Lu","year":"2024","journal-title":"Measurement"},{"key":"10.1016\/j.jvcir.2026.104869_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.123199","article-title":"A real-time anchor-free defect detector with global and local feature enhancement for surface defect detection","volume":"246","author":"Liu","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.jvcir.2026.104869_b16","article-title":"SDD-DETR: surface defect detection for no-service aero-engine blades with detection transformer","author":"Sun","year":"2024","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"4","key":"10.1016\/j.jvcir.2026.104869_b17","doi-asserted-by":"crossref","first-page":"356","DOI":"10.3390\/aerospace12040356","article-title":"Advances in aircraft skin defect detection using computer vision: A survey and comparison of YOLOv9 and RT-DETR performance","volume":"12","author":"Suvittawat","year":"2025","journal-title":"Aerospace"},{"key":"10.1016\/j.jvcir.2026.104869_b18","first-page":"1","article-title":"Benchmarking deep learning models for surface defect detection: a reproducible and statistically-rigorous approach","author":"Lema","year":"2025","journal-title":"J. Intell. Manuf."},{"issue":"2","key":"10.1016\/j.jvcir.2026.104869_b19","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1007\/s12596-023-01340-5","article-title":"A review of deep learning-based approaches for defect detection in smart manufacturing","volume":"53","author":"Jia","year":"2024","journal-title":"J. Opt."},{"key":"10.1016\/j.jvcir.2026.104869_b20","doi-asserted-by":"crossref","unstructured":"J. Zhao, F. Wei, C. Xu, Hybrid proposal refiner: Revisiting DETR series from the faster R-CNN perspective, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 17416\u201317426.","DOI":"10.1109\/CVPR52733.2024.01649"},{"key":"10.1016\/j.jvcir.2026.104869_b21","doi-asserted-by":"crossref","unstructured":"F. Yan, X. Jiang, Y. Lu, et al., Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection, in: Proceedings of the Computer Vision and Pattern Recognition Conference, 2025, pp. 23860\u201323869.","DOI":"10.1109\/CVPR52734.2025.02222"},{"key":"10.1016\/j.jvcir.2026.104869_b22","doi-asserted-by":"crossref","unstructured":"H. Sun, R. Wang, Y. Li, et al., SET: Spectral Enhancement for Tiny Object Detection, in: Proceedings of the Computer Vision and Pattern Recognition Conference, 2025, pp. 4713\u20134723.","DOI":"10.1109\/CVPR52734.2025.00444"},{"issue":"1","key":"10.1016\/j.jvcir.2026.104869_b23","first-page":"549","article-title":"Improved swin transformer-based defect detection method for transmission line patrol inspection images","volume":"17","author":"Dong","year":"2024","journal-title":"Evol. Intell."},{"issue":"5","key":"10.1016\/j.jvcir.2026.104869_b24","doi-asserted-by":"crossref","first-page":"509","DOI":"10.3390\/mi16050509","article-title":"YOLO-SUMAS: Improved printed circuit board defect detection and identification research based on YOLOv8","volume":"16","author":"Tang","year":"2025","journal-title":"Micromachines"},{"key":"10.1016\/j.jvcir.2026.104869_b25","doi-asserted-by":"crossref","DOI":"10.3389\/frai.2025.1675154","article-title":"Optimizing surface defect detection with YOLOv9: The role of advanced backbone models","volume":"8","author":"Zeng","year":"2025","journal-title":"Front. Artif. Intell."},{"issue":"3","key":"10.1016\/j.jvcir.2026.104869_b26","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1007\/s13735-025-00373-9","article-title":"Enhanced YOLOv10 for small object detection with context-aware and adaptive modules","volume":"14","author":"Wang","year":"2025","journal-title":"Int. J. Multimed. Inf. Retr."},{"issue":"8","key":"10.1016\/j.jvcir.2026.104869_b27","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1007\/s11760-025-04177-6","article-title":"PRD-YOLOv11: Efficient and accurate textile tow defect detection via progressive representation distillation","volume":"19","author":"Chen","year":"2025","journal-title":"Signal Image Video Process."},{"issue":"7","key":"10.1016\/j.jvcir.2026.104869_b28","doi-asserted-by":"crossref","first-page":"978","DOI":"10.3390\/sym17070978","article-title":"A high-accuracy PCB defect detection algorithm based on improved YOLOv12","volume":"17","author":"Chen","year":"2025","journal-title":"Symmetry"},{"issue":"1","key":"10.1016\/j.jvcir.2026.104869_b29","doi-asserted-by":"crossref","first-page":"40043","DOI":"10.1038\/s41598-025-23925-9","article-title":"Benchmarking YOLOv8 to YOLOv13 for robust hand gesture recognition in human\u2013robot interaction","volume":"15","author":"Gao","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jvcir.2026.104869_b30","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1007\/s10462-025-11253-3","article-title":"YOLO advances to its genesis: A decadal and comprehensive review of the YOLO series","volume":"58","author":"Sapkota","year":"2025","journal-title":"Artif. Intell. Rev."},{"issue":"6","key":"10.1016\/j.jvcir.2026.104869_b31","doi-asserted-by":"crossref","first-page":"5023","DOI":"10.1007\/s10462-022-10299-x","article-title":"Deep multi-agent reinforcement learning: Challenges and directions","volume":"56","author":"Wong","year":"2023","journal-title":"Artif. Intell. Rev."},{"key":"10.1016\/j.jvcir.2026.104869_b32","series-title":"Smart Communications, Intelligent Algorithms and Interactive Methods: Proceedings of 4th International Conference on Wireless Communications and Applications","first-page":"29","article-title":"Review on dec-pomdp model for marl algorithms","author":"Guicheng","year":"2022"},{"issue":"11","key":"10.1016\/j.jvcir.2026.104869_b33","doi-asserted-by":"crossref","first-page":"13677","DOI":"10.1007\/s10489-022-04105-y","article-title":"A review of cooperative multi-agent deep reinforcement learning","volume":"53","author":"Oroojlooy","year":"2023","journal-title":"Appl. Intell."},{"issue":"11","key":"10.1016\/j.jvcir.2026.104869_b34","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1007\/s10462-025-11340-5","article-title":"Multi-agent reinforcement learning for resources allocation optimization: A survey","volume":"58","author":"Hady","year":"2025","journal-title":"Artif. Intell. Rev."},{"key":"10.1016\/j.jvcir.2026.104869_b35","doi-asserted-by":"crossref","DOI":"10.1007\/s11633-025-1547-3","article-title":"Theory of mind inspired large reasoning language model improved multi-agent reinforcement learning algorithm for robust and adaptive partner modelling","author":"Li","year":"2025","journal-title":"Mach. Intell. Res."},{"key":"10.1016\/j.jvcir.2026.104869_b36","series-title":"International Conference on Machine Learning","first-page":"11863","article-title":"SimAM: A simple, parameter-free attention module for convolutional neural networks","author":"Yang","year":"2021"},{"key":"10.1016\/j.jvcir.2026.104869_b37","doi-asserted-by":"crossref","unstructured":"W. Lee, H. Chang, J. Moon, J. Lee, M. Kim, ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2025, pp. 8848\u20138858.","DOI":"10.1109\/CVPR52734.2025.00827"},{"issue":"13","key":"10.1016\/j.jvcir.2026.104869_b38","doi-asserted-by":"crossref","first-page":"4288","DOI":"10.3390\/s24134288","article-title":"A novel model for instance segmentation and quantification of bridge surface cracks\u2014The YOLOv8-AFPN-MPD-IoU","volume":"24","author":"Xiong","year":"2024","journal-title":"Sensors"},{"issue":"2","key":"10.1016\/j.jvcir.2026.104869_b39","first-page":"3267","article-title":"LR-Net: Lossless feature fusion and revised SIoU for small object detection","volume":"85","author":"Li","year":"2025","journal-title":"Comput. Mater. Contin."}],"container-title":["Journal of Visual Communication and Image Representation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047320326001641?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047320326001641?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T03:45:14Z","timestamp":1783050314000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1047320326001641"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":39,"alternative-id":["S1047320326001641"],"URL":"https:\/\/doi.org\/10.1016\/j.jvcir.2026.104869","relation":{},"ISSN":["1047-3203"],"issn-type":[{"value":"1047-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"LARANet: A lightweight defect detection network with reinforcement-guided perception and energy-aware statistical attention","name":"articletitle","label":"Article Title"},{"value":"Journal of Visual Communication and Image Representation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jvcir.2026.104869","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104869"}}