{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T16:05:39Z","timestamp":1781021139666,"version":"3.54.1"},"reference-count":48,"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":["Applied Soft Computing"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.asoc.2026.115446","type":"journal-article","created":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:23:16Z","timestamp":1778602996000},"page":"115446","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Edge-aware and context-guided multiscale feature integration network for steel surface defect detection"],"prefix":"10.1016","volume":"200","author":[{"given":"Zhentao","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Niu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.asoc.2026.115446_bib0005","first-page":"14","article-title":"Automated inspection of metal products not quite ready for prime time","volume":"19","author":"Tony","year":"1992","journal-title":"Iron Steelmaker"},{"key":"10.1016\/j.asoc.2026.115446_bib0010","first-page":"56","article-title":"Automatic surface inspection of steel sheet","volume":"73","author":"McManus","year":"1996","journal-title":"Iron Steel Engineer"},{"key":"10.1016\/j.asoc.2026.115446_bib0015","doi-asserted-by":"crossref","first-page":"2798","DOI":"10.1109\/TII.2018.2887145","article-title":"A simple guidance template-based defect detection method for strip steel surfaces","volume":"15","author":"Wang","year":"2019","journal-title":"IEEE Trans. Ind. Inf."},{"key":"10.1016\/j.asoc.2026.115446_bib0020","doi-asserted-by":"crossref","first-page":"1002","DOI":"10.1360\/SSI-2021-0336","article-title":"Survey on industrial defect detection with deep learning","volume":"52","author":"Luo","year":"2022","journal-title":"Sci. Sin. Inf."},{"key":"10.1016\/j.asoc.2026.115446_bib0025","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1002\/9781394303601.ch20","article-title":"Blockchain-empowered internet of things (IoTs) platforms for Automation in various sectors","author":"Addula","year":"2024","journal-title":"Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing"},{"key":"10.1016\/j.asoc.2026.115446_bib0030","first-page":"935","article-title":"Application advance and prospect of nondestructive testing technology for industrial casting defects","volume":"48","author":"Zhang","year":"2022","journal-title":"Acta Autom. Sin."},{"key":"10.1016\/j.asoc.2026.115446_bib0035","doi-asserted-by":"crossref","first-page":"4203","DOI":"10.1109\/TIA.2022.3151560","article-title":"Automated surface defect detection in metals: a comparative review of object detection and semantic segmentation using deep learning","volume":"58","author":"Usamentiaga","year":"2022","journal-title":"IEEE Trans. Ind. Appl."},{"key":"10.1016\/j.asoc.2026.115446_bib0040","doi-asserted-by":"crossref","first-page":"9709","DOI":"10.1109\/TIM.2020.3002277","article-title":"EDRNet: encoder\u2013decoder residual network for salient object detection of strip steel surface defects","volume":"69","author":"Song","year":"2020","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"3","key":"10.1016\/j.asoc.2026.115446_bib0045","doi-asserted-by":"crossref","first-page":"1694","DOI":"10.1109\/TII.2021.3085848","article-title":"Attention network for rail surface defect detection via consistency of IoU-guided center-point estimation","volume":"18","author":"Ni","year":"2022","journal-title":"IEEE Trans. Ind. Inf."},{"key":"10.1016\/j.asoc.2026.115446_bib0050","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1109\/TII.2022.3162846","article-title":"PVEL-AD: a large-scale open-world dataset for photovoltaic cell anomaly detection","volume":"19","author":"Su","year":"2023","journal-title":"IEEE Trans. Ind. Inf."},{"key":"10.1016\/j.asoc.2026.115446_bib0055","author":"Zhou"},{"key":"10.1016\/j.asoc.2026.115446_bib0060","series-title":"European Conference on Computer Vision","first-page":"21","article-title":"SSD: single shot multibox detector","author":"Liu","year":"2016"},{"key":"10.1016\/j.asoc.2026.115446_bib0065","author":"Redmon"},{"key":"10.1016\/j.asoc.2026.115446_bib0070","author":"Bochkovskiy"},{"key":"10.1016\/j.asoc.2026.115446_bib0075","author":"Wang"},{"key":"10.1016\/j.asoc.2026.115446_bib0080","author":"Wang"},{"key":"10.1016\/j.asoc.2026.115446_bib0085","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Faster r-CNN: towards real-time object detection with region proposal networks","volume":"39","author":"Ren","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.asoc.2026.115446_bib0090","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"2961","article-title":"Mask r-CNN","author":"He","year":"2017"},{"key":"10.1016\/j.asoc.2026.115446_bib0095","author":"Zhao"},{"key":"10.1016\/j.asoc.2026.115446_bib0100","first-page":"4033","article-title":"Steel surface defect recognition using classifier combination","volume":"131","author":"Bouguettaya","year":"2024","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"10.1016\/j.asoc.2026.115446_bib0105","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.rcim.2015.09.008","article-title":"A cost-effective and automatic surface defect inspection system for hot-rolled flat steel, robot","volume":"38","author":"Luo","year":"2016","journal-title":"Comput.-Integr. Manuf."},{"key":"10.1016\/j.asoc.2026.115446_bib0110","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1109\/TIM.2018.2852918","article-title":"Generalized completed local binary patterns for time-efficient steel surface defect classification","volume":"68","author":"Luo","year":"2019","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.asoc.2026.115446_bib0115","first-page":"151","article-title":"Using machine learning to identify in-situ melt pool signatures indicative of flaw formation in a laser powder bed fusion additive manufacturing process, addit","volume":"25","author":"Scime","year":"2018","journal-title":"Manuf."},{"key":"10.1016\/j.asoc.2026.115446_bib0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110578","article-title":"Steel surface defect detection based on self-supervised contrastive representation learning with matching metric","volume":"145","author":"Hu","year":"2023","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115446_bib0125","article-title":"Metallic surface defect recognition network based on global feature aggregation and dual context decoupled head, appl","volume":"158","author":"Qian","year":"2024","journal-title":"Soft Comput."},{"key":"10.1016\/j.asoc.2026.115446_bib0130","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"5097","article-title":"Pixel difference networks for efficient edge detection","author":"Su","year":"2021"},{"key":"10.1016\/j.asoc.2026.115446_bib0135","series-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision","first-page":"1923","article-title":"Dense extreme inception network: towards a robust CNN model for edge detection","author":"Poma","year":"2020"},{"key":"10.1016\/j.asoc.2026.115446_bib0140","article-title":"Sparse cross-transformer network for surface defect detection, SCI","volume":"14","author":"Huang","year":"2024","journal-title":"Rep."},{"key":"10.1016\/j.asoc.2026.115446_bib0145","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"7036","article-title":"NAS-FPN: learning scalable feature pyramid architecture for object detection","author":"Ghiasi","year":"2019"},{"key":"10.1016\/j.asoc.2026.115446_bib0150","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"10012","article-title":"Swin transformer: hierarchical vision transformer using shifted windows","author":"Liu","year":"2021"},{"key":"10.1016\/j.asoc.2026.115446_bib0155","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"13039","article-title":"You only look one-level feature","author":"Chen","year":"2021"},{"key":"10.1016\/j.asoc.2026.115446_bib0160","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1109\/TIP.2020.3042065","article-title":"CGNet: a Light-Weight context guided network for semantic segmentation","volume":"30","author":"Wu","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.asoc.2026.115446_bib0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2023.112614","article-title":"Defect transformer: an efficient hybrid transformer architecture for surface defect detection","volume":"211","author":"Wang","year":"2023","journal-title":"Measurement"},{"key":"10.1016\/j.asoc.2026.115446_bib0170","first-page":"1","article-title":"CAT-EDNet: cross-attention transformer-based encoder-decoder network for salient defect detection of strip steel surface","volume":"71","author":"Luo","year":"2022","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.asoc.2026.115446_bib0175","doi-asserted-by":"crossref","DOI":"10.1109\/TIM.2024.3470998","article-title":"Adaptive cross transformer with contrastive learning for surface defect detection","volume":"73","author":"Huang","year":"2024","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.asoc.2026.115446_bib0180","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"13713","article-title":"Coordinate attention for efficient mobile network design","author":"Hou","year":"2021"},{"key":"10.1016\/j.asoc.2026.115446_bib0185","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.asoc.2026.115446_bib0190","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"3156","article-title":"Residual attention network for image classification","author":"Wang","year":"2017"},{"key":"10.1016\/j.asoc.2026.115446_bib0195","first-page":"858","article-title":"A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects,appl. Surf","volume":"285","author":"Song","year":"2013","journal-title":"Sci."},{"key":"10.1016\/j.asoc.2026.115446_bib0200","first-page":"1562","article-title":"Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network,Sensors","volume":"20","author":"Lv","year":"2020"},{"key":"10.1016\/j.asoc.2026.115446_bib0205","author":"Jocher"},{"key":"10.1016\/j.asoc.2026.115446_bib0210","series-title":"Ultralytics YOLOv8","author":"Jocher","year":"2023"},{"key":"10.1016\/j.asoc.2026.115446_bib0215","author":"Jocher"},{"key":"10.1016\/j.asoc.2026.115446_bib0220","doi-asserted-by":"crossref","first-page":"9756","DOI":"10.1038\/s41598-025-94109-8","article-title":"An improved yolov5n algorithm for detecting surface defects in industrial components","volume":"15","author":"Tian","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.asoc.2026.115446_bib0225","article-title":"HDFA-YOLO: a real-time steel surface defect detection model based on backbone lightweight design and multi-scale feature fusion","volume":"249","author":"Li","year":"2025","journal-title":"Measurement"},{"key":"10.1016\/j.asoc.2026.115446_bib0230","first-page":"9145","article-title":"A lightweight algorithm for steel surface defect detection using improved yolov8","volume":"15","author":"Ma","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.asoc.2026.115446_bib0235","first-page":"9277","article-title":"Block-wise feature fusion for high-precision industrial surface defect detection, vis","volume":"41","author":"Xiang","year":"2025","journal-title":"Comput."},{"key":"10.1016\/j.asoc.2026.115446_bib0240","doi-asserted-by":"crossref","first-page":"7671","DOI":"10.1038\/s41598-024-57990-3","article-title":"Surface defect detection of hot rolled steel based on multi-scale feature fusion and attention mechanism residual block","volume":"14","author":"Zhang","year":"2024","journal-title":"Sci. Rep."}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S156849462600894X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S156849462600894X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T15:52:05Z","timestamp":1781020325000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S156849462600894X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":48,"alternative-id":["S156849462600894X"],"URL":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115446","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Edge-aware and context-guided multiscale feature integration network for steel surface defect detection","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115446","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"115446"}}