{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T09:06:56Z","timestamp":1784279216981,"version":"3.55.0"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62476080"],"award-info":[{"award-number":["62476080"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Jiangsu Province Natural Science Foundation","doi-asserted-by":"publisher","award":["BK20231186"],"award-info":[{"award-number":["BK20231186"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFB4703400"],"award-info":[{"award-number":["2022YFB4703400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.patcog.2026.113746","type":"journal-article","created":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T06:38:30Z","timestamp":1776407910000},"page":"113746","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PC","title":["A novel sonar image instance segmentation algorithm based on multi-scale attention and enhanced feature fusion"],"prefix":"10.1016","volume":"179","author":[{"given":"Qi","family":"He","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengfei","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qianqian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinnan","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanxue","family":"Xin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.patcog.2026.113746_b1","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1109\/JOE.2025.3603271","article-title":"A lightweight real-time sidescan sonar image detection model based on a multiscale fusion module","volume":"51","author":"Hao","year":"2026","journal-title":"IEEE J. Ocean. Eng."},{"key":"10.1016\/j.patcog.2026.113746_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111043","article-title":"Saliency detection for underwater moving object with sonar based on motion estimation and multi-trajectory analysis","volume":"158","author":"Zhu","year":"2025","journal-title":"Pattern Recognit."},{"issue":"11","key":"10.1016\/j.patcog.2026.113746_b3","doi-asserted-by":"crossref","first-page":"6708","DOI":"10.1109\/TCSVT.2023.3267127","article-title":"DANet: Dual-branch activation network for small object instance segmentation of ship images","volume":"33","author":"Sun","year":"2023","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"2","key":"10.1016\/j.patcog.2026.113746_b4","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1109\/TCSVT.2023.3289566","article-title":"Underwater color disparities: Cues for enhancing underwater images toward natural color consistencies","volume":"34","author":"Wang","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"A","key":"10.1016\/j.patcog.2026.113746_b5","article-title":"WaterCycleDiffusion: Visual-textual fusion empowered underwater image enhancement","volume":"127","author":"Wang","year":"2025","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.patcog.2026.113746_b6","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.127265","article-title":"P2GCN: Pixel-patch mutual enhancement graph convolutional network for sonar image super-resolution","volume":"279","author":"Li","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.patcog.2026.113746_b7","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.110172","article-title":"GhostFormer: Efficiently amalgamated CNN-transformer architecture for object detection","volume":"148","author":"Xie","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113746_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.130087","article-title":"From classical approach to deep-learning: A review on underwater target segmentation with sonar image","volume":"637","author":"Cai","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.patcog.2026.113746_b9","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"13903","article-title":"Centermask: Real-time anchor-free instance segmentation","author":"Lee","year":"2020"},{"key":"10.1016\/j.patcog.2026.113746_b10","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"2961","article-title":"Mask r-cnn","author":"He","year":"2017"},{"issue":"6","key":"10.1016\/j.patcog.2026.113746_b11","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":"2016","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.113746_b12","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"9156","article-title":"Yolact: Real-time instance segmentation","author":"Bolya","year":"2019"},{"issue":"2","key":"10.1016\/j.patcog.2026.113746_b13","article-title":"Taming neural radiance fields for underwater object detection in sonar images","volume":"343","author":"Zhang","year":"2026","journal-title":"Ocean Eng."},{"issue":"1","key":"10.1016\/j.patcog.2026.113746_b14","doi-asserted-by":"crossref","DOI":"10.1080\/17538947.2024.2398050","article-title":"MAL-YOLO: a lightweight algorithm for target detection in side-scan sonar images based on multi-scale feature fusion and attention mechanism","volume":"17","author":"Cao","year":"2024","journal-title":"Int. J. Digital Earth"},{"key":"10.1016\/j.patcog.2026.113746_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.124958","article-title":"Multi-scale fusion and efficient feature extraction for enhanced sonar image object detection","volume":"256","author":"Shi","year":"2024","journal-title":"Expert Syst. Appl."},{"issue":"12","key":"10.1016\/j.patcog.2026.113746_b16","doi-asserted-by":"crossref","first-page":"13226","DOI":"10.1109\/TCSVT.2024.3441053","article-title":"Parallelization strategy of non-local means filtering algorithm for real-time denoising of forward-looking multi-beam sonar images","volume":"34","author":"Ye","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"1","key":"10.1016\/j.patcog.2026.113746_b17","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1109\/JSEN.2023.3334765","article-title":"A level set method with heterogeneity filter for side-scan sonar image segmentation","volume":"24","author":"Zhang","year":"2023","journal-title":"IEEE Sensors J."},{"key":"10.1016\/j.patcog.2026.113746_b18","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1109\/TIP.2019.2930148","article-title":"Enhanced fuzzy-based local information algorithm for sonar image segmentation","volume":"29","author":"Abu","year":"2019","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.113746_b19","series-title":"OCEANS 2021: San Diego\u2013Porto","first-page":"1","article-title":"Automated synthetic aperture sonar image segmentation using spatially coherent clustering","author":"Steele","year":"2021"},{"issue":"1","key":"10.1016\/j.patcog.2026.113746_b20","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1109\/JSEN.2020.3013649","article-title":"A local region-based level set method with Markov random field for side-scan sonar image multi-level segmentation","volume":"21","author":"Li","year":"2020","journal-title":"IEEE Sensors J."},{"issue":"6","key":"10.1016\/j.patcog.2026.113746_b21","doi-asserted-by":"crossref","DOI":"10.1117\/1.JEI.26.6.063021","article-title":"Robust and fast-converging level set method for side-scan sonar image segmentation","volume":"26","author":"Liu","year":"2017","journal-title":"J. Electron. Imaging"},{"issue":"4","key":"10.1016\/j.patcog.2026.113746_b22","doi-asserted-by":"crossref","DOI":"10.1177\/1729881420936091","article-title":"A review on the wavelet methods for sonar image segmentation","volume":"17","author":"Tian","year":"2020","journal-title":"Int. J. Adv. Robot. Syst."},{"key":"10.1016\/j.patcog.2026.113746_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109363","article-title":"Lambertian-based adversarial attacks on deep-learning-based underwater side-scan sonar image classification","volume":"138","author":"Ma","year":"2023","journal-title":"Pattern Recognit."},{"issue":"13","key":"10.1016\/j.patcog.2026.113746_b24","doi-asserted-by":"crossref","first-page":"2048","DOI":"10.3390\/electronics11132048","article-title":"Active mask-box scoring r-cnn for sonar image instance segmentation","volume":"11","author":"Xu","year":"2022","journal-title":"Electronics"},{"key":"10.1016\/j.patcog.2026.113746_b25","first-page":"1","article-title":"Iterative, deep synthetic aperture sonar image segmentation","volume":"60","author":"Sun","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113746_b26","article-title":"RPFNet: Recurrent pyramid frequency feature fusion network for instance segmentation in side-scan sonar images","author":"Wang","year":"2023","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens."},{"issue":"3","key":"10.1016\/j.patcog.2026.113746_b27","doi-asserted-by":"crossref","first-page":"629","DOI":"10.3390\/rs15030629","article-title":"Scale in scale for SAR ship instance segmentation","volume":"15","author":"Shao","year":"2023","journal-title":"Remote. Sens."},{"issue":"1","key":"10.1016\/j.patcog.2026.113746_b28","doi-asserted-by":"crossref","DOI":"10.1049\/2024\/1357293","article-title":"An effective strategy of object instance segmentation in sonar images","volume":"2024","author":"Shi","year":"2024","journal-title":"IET Signal Process."},{"key":"10.1016\/j.patcog.2026.113746_b29","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"4015","article-title":"Segment anything","author":"Kirillov","year":"2023"},{"issue":"2","key":"10.1016\/j.patcog.2026.113746_b30","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1007\/s11263-025-02650-w","article-title":"Large foundation Model Empowered Region-aware underwater image captioning: H. Li et al.","volume":"134","author":"Li","year":"2026","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.patcog.2026.113746_b31","first-page":"1","article-title":"When SAM meets sonar images","volume":"21","author":"Wang","year":"2024","journal-title":"IEEE Geosci. Remote. Sens. Lett."},{"key":"10.1016\/j.patcog.2026.113746_b32","first-page":"1","article-title":"Self-trained target detection of radar and sonar images using automatic deep learning","volume":"60","author":"Zhang","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113746_b33","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"9796","article-title":"Pointrend: Image segmentation as rendering","author":"Kirillov","year":"2020"},{"key":"10.1016\/j.patcog.2026.113746_b34","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"8573","article-title":"Blendmask: Top-down meets bottom-up for instance segmentation","author":"Chen","year":"2020"},{"key":"10.1016\/j.patcog.2026.113746_b35","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5439","article-title":"Boxinst: High-performance instance segmentation with box annotations","author":"Tian","year":"2021"},{"key":"10.1016\/j.patcog.2026.113746_b36","series-title":"COMPUTER VISION - ECCV 2020, PT I","first-page":"282","article-title":"Conditional convolutions for instance segmentation","author":"Tian","year":"2020"}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326007119?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326007119?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T08:32:56Z","timestamp":1784277176000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320326007119"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":36,"alternative-id":["S0031320326007119"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113746","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A novel sonar image instance segmentation algorithm based on multi-scale attention and enhanced feature fusion","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113746","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"113746"}}