{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T14:57:27Z","timestamp":1784300247683,"version":"3.55.0"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T00:00:00Z","timestamp":1772409600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T00:00:00Z","timestamp":1779753600000},"content-version":"vor","delay-in-days":85,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Scientific Research Fund of the Yunnan Provincial Department of Education","award":["2024J0337"],"award-info":[{"award-number":["2024J0337"]}]},{"name":"Kunming Medical University Talent Introduction Research Special Project","award":["2404"],"award-info":[{"award-number":["2404"]}]},{"name":"Yunnan Fundamental Research Projects","award":["202401AU070071"],"award-info":[{"award-number":["202401AU070071"]}]},{"name":"Yunnan Fundamental Research Projects","award":["202501AU070013"],"award-info":[{"award-number":["202501AU070013"]}]},{"name":"Xingdian Talent Support Program of Yunnan Province of China","award":["XDYC-QNRC-2024-185"],"award-info":[{"award-number":["XDYC-QNRC-2024-185"]}]},{"name":"Yunnan health training project of high level talents","award":["H-2025002"],"award-info":[{"award-number":["H-2025002"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82460442"],"award-info":[{"award-number":["82460442"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J. King Saud Univ. Comput. Inf. Sci."],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1007\/s44443-026-00605-w","type":"journal-article","created":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T08:06:20Z","timestamp":1772438780000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["A lightweight model for indoor object detection in unstructured scenes based on joint attention and prior knowledge in the context of home rehabilitation"],"prefix":"10.1007","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8674-7433","authenticated-orcid":false,"given":"Zhizhong","family":"Xing","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leping","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guolan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaochun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lechun","family":"Lyu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingguo","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,3,2]]},"reference":[{"key":"605_CR1","doi-asserted-by":"publisher","first-page":"31645","DOI":"10.1007\/s11042-020-09662-3","volume":"79","author":"M Afif","year":"2020","unstructured":"Afif M, Ayachi R, Pissaloux E, Said Y, Atri M (2020) Indoor objects detection and recognition for an ICT mobility assistance of visually impaired people. Multimedia Tools Appl 79:31645\u201331662","journal-title":"Multimedia Tools Appl"},{"key":"605_CR2","doi-asserted-by":"publisher","first-page":"7045","DOI":"10.1016\/j.jksuci.2022.06.015","volume":"34","author":"A Alamri","year":"2022","unstructured":"Alamri A, Alturki RA, Alamri S (2022) Multi-user routing algorithm for indoor spaces\u2013adapted for social distancing. J King Saud Univ 34:7045\u20137058","journal-title":"J King Saud Univ"},{"key":"605_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2024.100687","volume":"54","author":"S Aldawsari","year":"2024","unstructured":"Aldawsari S, Chen YPP (2024) Intervention scenarios and robot capabilities for support, guidance and health monitoring for the elderly. Comput Sci Rev 54:100687","journal-title":"Comput Sci Rev"},{"key":"605_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119108","volume":"213","author":"M Bie","year":"2023","unstructured":"Bie M, Liu Y, Li G, Hong J, Li J (2023) Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach. Expert Syst Appl 213:119108","journal-title":"Expert Syst Appl"},{"key":"605_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2021.101448","volume":"51","author":"MC Chiu","year":"2023","unstructured":"Chiu MC, Tsai HY, Chiu JE (2023) A novel directional object detection method for piled objects using a hybrid region-based convolutional neural network. Adv Eng Inform 51:101448","journal-title":"Adv Eng Inform"},{"key":"605_CR6","doi-asserted-by":"crossref","unstructured":"Ding X, Li B, Wang J (2021) Geometric property-based convolutional neural network for indoor object detection. Int J Adv Robot Syst 18","DOI":"10.1177\/1729881421993323"},{"key":"605_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.104914","volume":"113","author":"X Dong","year":"2022","unstructured":"Dong X, Yan S, Duan C (2022) A lightweight vehicles detection network model based on YOLOv5. Eng Appl Artif Intell 113:104914","journal-title":"Eng Appl Artif Intell"},{"key":"605_CR8","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham M, Van Gool L, Williams CK, Winn J, Zisserman A (2010) The pascal visual object classes (voc) challenge. Int J Comput vis 88:303\u2013338","journal-title":"Int J Comput vis"},{"key":"605_CR9","first-page":"1","volume":"62","author":"C Fu","year":"2024","unstructured":"Fu C, Huo Y, Li G, Chen Y (2024) Unsupervised learning with waveform multi-branch attention mechanism for erratic noise attenuation. IEEE Trans Geosci Remote Sens 62:1\u201311","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"605_CR10","unstructured":"Gao P, Ji CL, Yu T et al (2024) YOLO-TLA: An efficient and lightweight small object detection model based on YOLOv5. arXiv preprint arXiv:2402.14309"},{"key":"605_CR11","doi-asserted-by":"publisher","unstructured":"Ghiasi G, Lin TY, Le QV (2019) Nas-fpn: Learning scalable feature pyramid architecture for object detection. Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 7036\u20137045. https:\/\/doi.org\/10.1109\/CVPR.2019.00720","DOI":"10.1109\/CVPR.2019.00720"},{"key":"605_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2020.107374","volume":"178","author":"S Gupta","year":"2020","unstructured":"Gupta S, Sangeeta R, Mishra RS, Singal G, Badal T, Garg D (2020) Corridor segmentation for automatic robot navigation in indoor environment using edge devices. Comput Netw 178:107374","journal-title":"Comput Netw"},{"key":"605_CR13","first-page":"1","volume":"73","author":"S Hao","year":"2023","unstructured":"Hao S, He T, Ma X, Zhang X, Wu Y, Wang H (2023) KdbiDet: a bi-branch collaborative training algorithm based on knowledge distillation for photovoltaic hot-spot detection systems. IEEE Trans Instrum Meas 73:1\u201315","journal-title":"IEEE Trans Instrum Meas"},{"key":"605_CR14","doi-asserted-by":"publisher","unstructured":"Hou Q, Zhou D, Feng J (2021) Coordinate attention for efficient mobile network design. Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition 13713\u201313722. https:\/\/doi.org\/10.1109\/CVPR46437.2021.01350","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"605_CR15","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G. Squeeze-and-excitation networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, 7132\u20137141.","DOI":"10.1109\/CVPR.2018.00745"},{"key":"605_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2024.101182","volume":"26","author":"Z Huang","year":"2024","unstructured":"Huang Z, Li J, He Z (2024) Full-coverage unobtrusive health monitoring of elders at homes. Internet Things 26:101182","journal-title":"Internet Things"},{"key":"605_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120065","volume":"225","author":"J Jiang","year":"2023","unstructured":"Jiang J, Yang Z, Wu C, Guo Y, Yang M, Feng W (2023) A compatible detector based on improved YOLOv5 for hydropower device detection in AR inspection system. Expert Syst Appl 225:120065","journal-title":"Expert Syst Appl"},{"key":"605_CR18","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-53654-y","volume":"15","author":"C Jiang","year":"2024","unstructured":"Jiang C, Xu W, Li Y, Yu Z, Wang L, Hu X, Liu J (2024) Capturing forceful interaction with deformable objects using a deep learning-powered stretchable tactile array. Nat Commun 15:9513","journal-title":"Nat Commun"},{"key":"605_CR19","unstructured":"Jocher Glenn (2023) Yolov8. https:\/\/github.com\/ultralytics\/ultralytics\/tree\/main"},{"key":"605_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121209","volume":"237","author":"L Kang","year":"2024","unstructured":"Kang L, Lu Z, Meng L, Gao Z (2024) YOLO-FA: type-1 fuzzy attention based YOLO detector for vehicle detection. Expert Syst Appl 237:121209","journal-title":"Expert Syst Appl"},{"key":"605_CR21","unstructured":"Khanam, R., Hussain, M. Yolov11 (2024) An overview of the key architectural enhancements. arXiv preprint arXiv:2410.17725\u00a0"},{"key":"605_CR22","doi-asserted-by":"crossref","unstructured":"Laidoudi SE, Maidi M, Otmane S (2025) Real-time indoor object detection based on hybrid cnn-transformer approach. arXiv preprint arXiv:2409.01871","DOI":"10.3233\/FAIA240521"},{"key":"605_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2020.101206","volume":"47","author":"D Li","year":"2021","unstructured":"Li D, Xie Q, Gong X, Yu Z, Xu J, Sun Y, Wang J (2021) Automatic defect detection of metro tunnel surfaces using a vision-based inspection system. Adv Eng Inform 47:101206","journal-title":"Adv Eng Inform"},{"key":"605_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.111631","volume":"159","author":"J Li","year":"2024","unstructured":"Li J, Wang K, He M et al (2024) Attention-based convolution neural network for magnetic tile surface defect classification and detection. Appl Soft Comput 159:111631","journal-title":"Appl Soft Comput"},{"key":"605_CR25","doi-asserted-by":"publisher","unstructured":"Lin TY, Doll\u00e1r P, Girshick R (2017) Feature pyramid networks for object detection. Proceedings of the IEEE conference on computer vision and pattern recognition. 2117\u20132125. https:\/\/doi.org\/10.1109\/CVPR.2017.106","DOI":"10.1109\/CVPR.2017.106"},{"key":"605_CR26","doi-asserted-by":"publisher","unstructured":"Lin TY, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Zitnick CL (2020) Microsoft coco: Common objects in context. European conference on computer vision. 740\u2013755. https:\/\/doi.org\/10.1007\/978-3-319-10602-1_48","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"605_CR27","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-025-04945-6","volume":"12","author":"Y Liu","year":"2025","unstructured":"Liu Y, Zhao G, Fan S, Fei C, Liu J, Zhang Z, Liu Z (2025) Tri-band vehicle and vessel dataset for artificial intelligence research. Sci Data 12:592","journal-title":"Sci Data"},{"key":"605_CR28","doi-asserted-by":"publisher","unstructured":"Liu S, Qi L, Qin H, Shi J, Jia J (2018) Path aggregation network for instance segmentation. Proceedings of the IEEE conference on computer vision and pattern recognition. 8759\u20138768. https:\/\/doi.org\/10.1109\/CVPR.2018.00913","DOI":"10.1109\/CVPR.2018.00913"},{"key":"605_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101692","volume":"53","author":"Q Lu","year":"2022","unstructured":"Lu Q, Lin J, Luo L, Zhang Y, Zhu W (2022) A supervised approach for automated surface defect detection in ceramic tile quality control. Adv Eng Inform 53:101692","journal-title":"Adv Eng Inform"},{"key":"605_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2024.115060","volume":"236","author":"M Lu","year":"2024","unstructured":"Lu M, Sheng W, Zou Y, Chen Y, Chen Z (2024) WSS-Yolo: an improved industrial defect detection network for steel surface defects. Measurement 236:115060","journal-title":"Measurement"},{"key":"605_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2022.104346","volume":"161","author":"M Luperto","year":"2023","unstructured":"Luperto M, Monroy J, Moreno FA, Lunardini F, Renoux J, Krpic A, Borghese NA (2023) Seeking at-home long-term autonomy of assistive mobile robots through the integration with an IoT-based monitoring system. Robot Auton Syst 161:104346","journal-title":"Robot Auton Syst"},{"key":"605_CR32","unstructured":"Lyu C, Zhang W, Huang H, Zhou Y, Wang Y, Liu Y, Chen K (2022) Rtmdet: an empirical study of designing real-time object detectors. arXiv preprint arXiv:2212.07784"},{"key":"605_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121036","volume":"234","author":"B Mahaur","year":"2023","unstructured":"Mahaur B, Mishra KK, Kumar A (2023) An improved lightweight small object detection framework applied to real-time autonomous driving. Expert Syst Appl 234:121036","journal-title":"Expert Syst Appl"},{"key":"605_CR34","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-51261-5","volume":"15","author":"Q Mao","year":"2024","unstructured":"Mao Q, Liao Z, Yuan J, Zhu R (2024) Multimodal tactile sensing fused with vision for dexterous robotic housekeeping. Nat Commun 15:6871","journal-title":"Nat Commun"},{"key":"605_CR35","doi-asserted-by":"publisher","first-page":"7014","DOI":"10.1016\/j.jksuci.2022.03.004","volume":"34","author":"AB Najjar","year":"2022","unstructured":"Najjar AB, Al-Issa AR, Hosny M (2022) Dynamic indoor path planning for the visually impaired. J King Saud Univ-Comput Inf Sci 34:7014\u20137024","journal-title":"J King Saud Univ-Comput Inf Sci"},{"key":"605_CR36","first-page":"1","volume":"72","author":"J Ni","year":"2023","unstructured":"Ni J, Shen K, Chen Y, Yang SX (2023) An improved ssd-like deep network-based object detection method for indoor scenes. IEEE Trans Instrum Meas 72:1\u201315","journal-title":"IEEE Trans Instrum Meas"},{"key":"605_CR37","doi-asserted-by":"publisher","unstructured":"Omer K, Monteri\u00f9 A (2025) Edge ai for object recognition in digital twins: enhancing indoor navigation and bim systems for living environments. IEEE International Workshop on Metrology for Living Environment. 490\u2013494. https:\/\/doi.org\/10.1109\/MetroLivEnv64961.2025.11106999","DOI":"10.1109\/MetroLivEnv64961.2025.11106999"},{"key":"605_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106153","volume":"185","author":"S Opiyo","year":"2021","unstructured":"Opiyo S, Okinda C, Zhou J, Mwangi E, Makange N (2021) Medial axis-based machine-vision system for orchard robot navigation. Comput Electron Agric 185:106153","journal-title":"Comput Electron Agric"},{"key":"605_CR39","doi-asserted-by":"publisher","first-page":"8035","DOI":"10.1109\/TVT.2023.3243529","volume":"72","author":"S Ozer","year":"2023","unstructured":"Ozer S, Ilhan HE, Ozkanoglu MA, Cirpan HA (2023) Offloading deep learning powered vision tasks from UAV to 5G edge server with denoising. IEEE Trans Veh Technol 72:8035\u20138048","journal-title":"IEEE Trans Veh Technol"},{"key":"605_CR40","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1038\/s42256-024-00917-4","volume":"6","author":"S Schmidgall","year":"2024","unstructured":"Schmidgall S, Kim JW, Kuntz A, Ghazi AE, Krieger A (2024) General-purpose foundation models for increased autonomy in robot-assisted surgery. Nat Mach Intell 6:1275\u20131283","journal-title":"Nat Mach Intell"},{"key":"605_CR41","doi-asserted-by":"crossref","unstructured":"Selvaraju RR, Cogswell M, Das A, Vedantam R, Parikh D, Batra D (2017) Grad-cam: visual explanations from deep networks via gradient-based localization. Proceedings of the IEEE International Conference on Computer Vision. 618\u2013626","DOI":"10.1109\/ICCV.2017.74"},{"key":"605_CR42","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.1109\/TNSRE.2024.3379453","volume":"32","author":"Y Sun","year":"2024","unstructured":"Sun Y, Xiao C, Chen L, Chen L, Lu H, Wang Y, Xiong R (2024) A review of intelligent walking support robots: aiding sit-to-stand transition and walking. IEEE Trans Neural Syst Rehabil Eng 32:1355\u20131369","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"key":"605_CR43","doi-asserted-by":"publisher","unstructured":"Tan M, Pang R, Le QV (2020) Efficientdet: Scalable and efficient object detection. Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 10781\u201310790. https:\/\/doi.org\/10.1109\/CVPR42600.2020.01079","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"605_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2023.108146","volume":"212","author":"A Thakur","year":"2023","unstructured":"Thakur A, Venu S, Gurusamy M (2023) An extensive review on agricultural robots with a focus on their perception systems. Comput Electron Agric 212:108146","journal-title":"Comput Electron Agric"},{"key":"605_CR45","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-36815-3","volume":"14","author":"Y Wang","year":"2023","unstructured":"Wang Y, Huang K, Fang J, Yan M, Wu E, Zeng H (2023) Mid-infrared single-pixel imaging at the single-photon level. Nat Commun 14:1073","journal-title":"Nat Commun"},{"key":"605_CR46","first-page":"107984","volume":"37","author":"A Wang","year":"2024","unstructured":"Wang A, Chen H, Liu L, Chen K, Lin Z, Han J (2024b) Yolov10: real-time end-to-end object detection. Adv Neural Inf Process Syst 37:107984\u2013108011","journal-title":"Adv Neural Inf Process Syst"},{"key":"605_CR47","doi-asserted-by":"crossref","unstructured":"Wang Q, Wu B, Zhu P, Li P, Zuo W, Hu Q (2020) ECA-Net: Efficient channel attention for deep convolutional neural networks. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition 11534\u201311542","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"605_CR48","doi-asserted-by":"crossref","unstructured":"Wang CY, Liao HYM, Wu YH, Chen PY, Hsieh JW, Yeh IH (2020) CSPNet: a new backbone that can enhance learning capability of CNN. Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition workshops. 390\u2013391","DOI":"10.1109\/CVPRW50498.2020.00203"},{"key":"605_CR49","unstructured":"Wang CY, Liao HYM, Yeh IH (2022) Designing network design strategies through gradient path analysis. arXiv preprint arXiv:2211.04800"},{"key":"605_CR50","doi-asserted-by":"crossref","unstructured":"Wang CY, Yeh IH, Mark Liao HY (2024) Yolov9: learning what you want to learn using programmable gradient information. European conference on computer vision. Cham: Springer Nature Switzerland, 1\u201321","DOI":"10.1007\/978-3-031-72751-1_1"},{"key":"605_CR51","volume":"28","author":"P Wei","year":"2022","unstructured":"Wei P, Yu X, Di Z, Dai X, Wang B, Zeng Y (2022) Design of robot automatic navigation under computer intelligent algorithm and machine vision. J Ind Inf Integr 28:100366","journal-title":"J Ind Inf Integr"},{"key":"605_CR52","doi-asserted-by":"publisher","unstructured":"Woo S, Park J, Lee JY, Kweon IS (2018) Cbam: Convolutional block attention module. In Proceedings of the European conference on computer vision, 3\u201319. https:\/\/doi.org\/10.1007\/978-3-030-01234-2_1","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"605_CR53","doi-asserted-by":"publisher","first-page":"2027","DOI":"10.1109\/TCE.2025.3538785","volume":"71","author":"HT Wu","year":"2025","unstructured":"Wu HT, Wei W, Li SH, Chen MY (2025) Developing a consumer electronics robotics with a large language model based on a trustworthy AI framework. IEEE Trans Consum Electron 71:2027\u20132038","journal-title":"IEEE Trans Consum Electron"},{"key":"605_CR54","doi-asserted-by":"publisher","unstructured":"Xu X, Jiang Y, Chen W et al (2022) Damo-yolo: A report on real-time object detection design. arXiv preprint arXiv:2211.15444. https:\/\/doi.org\/10.48550\/arXiv.2211.15444","DOI":"10.48550\/arXiv.2211.15444"},{"key":"605_CR55","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.111432","volume":"287","author":"C Yang","year":"2024","unstructured":"Yang C, Lin Z, Lan Z, Chen R, Wei L, Liu Y (2024) Evolutionary channel pruning for real-time object detection. Knowl Based Syst 287:111432","journal-title":"Knowl Based Syst"},{"key":"605_CR56","doi-asserted-by":"publisher","unstructured":"Yang G, Lei J, Zhu Z, Cheng S, Feng Z, Liang R (2023) AFPN: Asymptotic feature pyramid network for object detection. IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE 2184\u20132189. https:\/\/doi.org\/10.1109\/SMC53992.2023.10394415","DOI":"10.1109\/SMC53992.2023.10394415"},{"key":"605_CR57","doi-asserted-by":"publisher","first-page":"8064","DOI":"10.1109\/JIOT.2025.3545006","volume":"12","author":"J Yao","year":"2025","unstructured":"Yao J, Cal S, Sun X (2025) Resource allocation for federated knowledge distillation learning in Internet of Drones. IEEE Internet Things J 12:8064\u20138074","journal-title":"IEEE Internet Things J"},{"key":"605_CR58","first-page":"1","volume":"73","author":"M Yuan","year":"2024","unstructured":"Yuan M, Zhou Y, Ren X, Zhi H, Zhang J, Chen H (2024) YOLO-HMC: an improved method for PCB surface defect detection. IEEE Trans Instrum Meas 73:1\u201311","journal-title":"IEEE Trans Instrum Meas"},{"key":"605_CR59","doi-asserted-by":"publisher","first-page":"16515","DOI":"10.1109\/JSEN.2023.3285214","volume":"23","author":"L Yue","year":"2023","unstructured":"Yue L, Zongxing L, Hui D, Chao J, Ziqiang L, Zhoujie L (2023) How to achieve human\u2013machine interaction by foot gesture recognition: a review. IEEE Sens J 23:16515\u201316528","journal-title":"IEEE Sens J"},{"key":"605_CR60","doi-asserted-by":"publisher","first-page":"11627","DOI":"10.1007\/s00521-021-05867-1","volume":"33","author":"W Zhang","year":"2021","unstructured":"Zhang W, Fu C, Xie H, Zhu M, Tie M, Chen J (2021) Global context aware RCNN for object detection. Neural Comput Appl 33:11627\u201311639","journal-title":"Neural Comput Appl"},{"key":"605_CR61","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2022.103450","volume":"221","author":"C Zhang","year":"2022","unstructured":"Zhang C, Wang K, Bi H, Liu Z, Yang L (2022) Camouflaged object detection via neighbor connection and hierarchical information transfer. Comput vis Image Underst 221:103450","journal-title":"Comput vis Image Underst"},{"key":"605_CR62","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122669","volume":"241","author":"Y Zhang","year":"2024","unstructured":"Zhang Y, Zhang H, Huang Q, Han Y, Zhao M (2024a) DsP-YOLO: an anchor-free network with DsPAN for small object detection of multiscale defects. Expert Syst Appl 241:122669","journal-title":"Expert Syst Appl"},{"key":"605_CR63","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2023.122184","volume":"355","author":"J Zhang","year":"2024","unstructured":"Zhang J, Chen X, Wei H, Zhang K (2024b) A lightweight network for photovoltaic cell defect detection in electroluminescence images based on neural architecture search and knowledge distillation. Appl Energy 355:122184","journal-title":"Appl Energy"},{"key":"605_CR64","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1109\/MRA.2023.3276266","volume":"31","author":"S Zhao","year":"2023","unstructured":"Zhao S, Huang J, Zhou M, Li Z, Xia H, Chen C, Liu J, Ma M, Lin F (2023) Electronic skin as human\u2013robot interface for human grasp recognition in home-care robots: introducing a complete set of resources. IEEE Robot Autom Mag 31:8\u201324","journal-title":"IEEE Robot Autom Mag"},{"key":"605_CR65","doi-asserted-by":"crossref","unstructured":"Zhao Y, Lv W, Xu S, Wei J, Wang G, Dang Q, Chen J (2024) Detrs beat yolos on real-time object detection. Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 16965\u201316974","DOI":"10.1109\/CVPR52733.2024.01605"},{"key":"605_CR66","doi-asserted-by":"publisher","first-page":"3163","DOI":"10.1109\/TNSRE.2023.3299350","volume":"31","author":"Y Zhou","year":"2023","unstructured":"Zhou Y, Yu T, Gao W, Huang W, Lu Z, Huang Q, Li Y (2023) Shared three-dimensional robotic arm control based on asynchronous BCI and computer vision. IEEE Trans Neural Syst Rehabil Eng 31:3163\u20133175","journal-title":"IEEE Trans Neural Syst Rehabil Eng"}],"container-title":["Journal of King Saud University Computer and Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44443-026-00605-w","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44443-026-00605-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44443-026-00605-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T17:02:54Z","timestamp":1779814974000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44443-026-00605-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,2]]},"references-count":66,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,7]]}},"alternative-id":["605"],"URL":"https:\/\/doi.org\/10.1007\/s44443-026-00605-w","relation":{},"ISSN":["1319-1578","2213-1248"],"issn-type":[{"value":"1319-1578","type":"print"},{"value":"2213-1248","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,2]]},"assertion":[{"value":"25 August 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 February 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest, that the paper presents their own work and that it does not violate any third-party rights, in particular the author's rights. This paper is an original manuscript that has not been published and is not under consideration for publication elsewhere.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"186"}}