{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:34:39Z","timestamp":1757619279871,"version":"3.44.0"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T00:00:00Z","timestamp":1753142400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T00:00:00Z","timestamp":1753142400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100017700","name":"Henan Provincial Science and Technology Research Project","doi-asserted-by":"publisher","award":["242102220113","242102220113","242102220113","242102220113"],"award-info":[{"award-number":["242102220113","242102220113","242102220113","242102220113"]}],"id":[{"id":"10.13039\/501100017700","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The Fundamental Research Funds for the Universities of Henan Province","award":["NSFRF240607"],"award-info":[{"award-number":["NSFRF240607"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China,China","doi-asserted-by":"crossref","award":["No.62273133"],"award-info":[{"award-number":["No.62273133"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100018551","name":"Science and Technology Innovation Talents in Universities of Henan Province","doi-asserted-by":"publisher","award":["20IRTSTHN019"],"award-info":[{"award-number":["20IRTSTHN019"]}],"id":[{"id":"10.13039\/501100018551","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1007\/s11760-025-04519-4","type":"journal-article","created":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T13:31:14Z","timestamp":1753191074000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["GFD-Net: Micro-electrical connector defect localization network with global additive attention and frequency-aware feature fusion"],"prefix":"10.1007","volume":"19","author":[{"given":"Hongqi","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawen","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qunpo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naohiko","family":"Hanajima","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuhui","family":"Bu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,22]]},"reference":[{"key":"4519_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109558","volume":"140","author":"X Hou","year":"2023","unstructured":"Hou, X., Liu, M., Zhang, S., Wei, P., Chen, B.: Canet: Contextual information and spatial attention based network for detecting small defects in manufacturing industry. Pattern Recogn. 140, 109558 (2023)","journal-title":"Pattern Recogn."},{"key":"4519_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2024.115189","volume":"237","author":"B Zhao","year":"2024","unstructured":"Zhao, B., Chen, Y., Jia, X., Ma, T.: Steel surface defect detection algorithm in complex background scenarios. Measurement 237, 115189 (2024)","journal-title":"Measurement"},{"key":"4519_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.123199","volume":"246","author":"Q Liu","year":"2024","unstructured":"Liu, Q., Liu, M., Jonathan, Q.M., Shen, W.: A real-time anchor-free defect detector with global and local feature enhancement for surface defect detection. Expert Syst. Appl. 246, 123199 (2024)","journal-title":"Expert Syst. Appl."},{"key":"4519_CR4","doi-asserted-by":"publisher","first-page":"3703","DOI":"10.1109\/TIP.2025.3572760","volume":"34","author":"M Zha","year":"2025","unstructured":"Zha, M., Wang, G., Pei, Y., Li, T., Tang, X., Li, C., Yang, Y., Tao Shen, H.: Heterogeneous experts and hierarchical perception for underwater salient object detection. IEEE Trans. Image Process. 34, 3703\u20133717 (2025). https:\/\/doi.org\/10.1109\/TIP.2025.3572760","journal-title":"IEEE Trans. Image Process."},{"key":"4519_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/LGRS.2022.3192559","volume":"19","author":"M Zha","year":"2022","unstructured":"Zha, M., Qian, W., Yang, W., Xu, Y.: Multifeature transformation and fusion-based ship detection with small targets and complex backgrounds. IEEE Geosci. Remote Sens. Lett. 19, 1\u20135 (2022). https:\/\/doi.org\/10.1109\/LGRS.2022.3192559","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"4519_CR6","doi-asserted-by":"crossref","unstructured":"Cui, Y., Yang, L.: Faq: Feature aggregated queries for transformer-based video object detectors. arXiv preprint arXiv:2303.08319 (2023)","DOI":"10.1109\/CVPR52729.2023.00616"},{"issue":"6","key":"4519_CR7","doi-asserted-by":"publisher","first-page":"6559","DOI":"10.1609\/aaai.v39i6.32703","volume":"39","author":"Q Qi","year":"2025","unstructured":"Qi, Q., Wang, X.: Tgbformer: Transformer-graphformer blender network for video object detection. Proc. AAAI Conf. Artif. Intell. 39(6), 6559\u20136567 (2025). https:\/\/doi.org\/10.1609\/aaai.v39i6.32703","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"4519_CR8","unstructured":"Zhu, X., Su, W., Lu, L., Li, B., Wang, X., Dai, J.: Deformable detr: Deformable transformers for end-to-end object detection. arXiv preprint arXiv:2010.04159 (2020)"},{"issue":"5","key":"4519_CR9","doi-asserted-by":"publisher","first-page":"6568","DOI":"10.1109\/TCSS.2024.3415160","volume":"11","author":"Y Bai","year":"2024","unstructured":"Bai, Y., Liu, Y., Li, Y.: Learning frequency-aware cross-modal interaction for multimodal fake news detection. IEEE Trans. Computational soc. Sys. 11(5), 6568\u20136579 (2024). https:\/\/doi.org\/10.1109\/TCSS.2024.3415160","journal-title":"IEEE Trans. Computational soc. Sys."},{"key":"4519_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2022.3181062","volume":"60","author":"Q Wang","year":"2022","unstructured":"Wang, Q., Liu, Y., Xiong, Z., Yuan, Y.: Hybrid feature aligned network for salient object detection in optical remote sensing imagery. IEEE Trans. Geosci. Remote Sens. 60, 1\u201315 (2022). https:\/\/doi.org\/10.1109\/TGRS.2022.3181062","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4519_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2021.3133956","volume":"60","author":"Y Liu","year":"2022","unstructured":"Liu, Y., Li, Q., Yuan, Y., Du, Q., Wang, Q.: Abnet: Adaptive balanced network for multiscale object detection in remote sensing imagery. IEEE Trans. Geosci. Remote Sens. 60, 1\u201314 (2022). https:\/\/doi.org\/10.1109\/TGRS.2021.3133956","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4519_CR12","unstructured":"Mehta, S., Rastegari, M.: Separable self-attention for mobile vision transformers. arXiv preprint arXiv:2206.02680 (2022)"},{"key":"4519_CR13","unstructured":"Zhang, T., Li, L., Zhou, Y., Liu, W., Qian, C., Ji, X.: Cas-vit: Convolutional additive self-attention vision transformers for efficient mobile applications. arXiv preprint arXiv:2408.03703 (2024)"},{"issue":"12","key":"4519_CR14","doi-asserted-by":"publisher","first-page":"1587","DOI":"10.3390\/e23121587","volume":"23","author":"M Zha","year":"2021","unstructured":"Zha, M., Qian, W., Yi, W., Hua, J.: A lightweight yolov4-based forestry pest detection method using coordinate attention and feature fusion. Entropy 23(12), 1587 (2021). https:\/\/doi.org\/10.3390\/e23121587","journal-title":"Entropy"},{"issue":"12","key":"4519_CR15","doi-asserted-by":"publisher","first-page":"10763","DOI":"10.1109\/TPAMI.2024.3449959","volume":"46","author":"L Chen","year":"2024","unstructured":"Chen, L., Fu, Y., Gu, L., Yan, C., Harada, T., Huang, G.: Frequency-aware feature fusion for dense image prediction. IEEE Trans. Pattern Anal. Mach. Intell. 46(12), 10763\u201310780 (2024)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"11","key":"4519_CR16","doi-asserted-by":"publisher","first-page":"11942","DOI":"10.1109\/TCSVT.2024.3426673","volume":"34","author":"M Zha","year":"2024","unstructured":"Zha, M., Fu, F., Pei, Y., Wang, G., Li, T., Tang, X., Yang, Y., Tao Shen, H.: Dual domain perception and progressive refinement for mirror detection. IEEE Trans. Circuits Syst. Video Technol. 34(11), 11942\u201311953 (2024). https:\/\/doi.org\/10.1109\/TCSVT.2024.3426673","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"6","key":"4519_CR17","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2017","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137\u20131149 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"4519_CR18","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-030-58452-8_13","volume-title":"Comput. Vision - ECCV 2020","author":"N Carion","year":"2020","unstructured":"Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S.: End-to-end object detection with transformers. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) Comput. Vision - ECCV 2020, pp. 213\u2013229. Springer, Cham (2020)"},{"key":"4519_CR19","unstructured":"Liu, S., Li, F., Zhang, H., Yang, X., Qi, X., Su, H., Zhu, J., Zhang, L.: Dab-detr: Dynamic anchor boxes are better queries for detr. arXiv preprint arXiv:2201.12329 (2022)"},{"key":"4519_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.126212","volume":"267","author":"T Zhang","year":"2025","unstructured":"Zhang, T., Ma, C., Liu, Z., ur Rehman, S., Li, Y., Saraee, M.: Gas pipeline defect detection based on improved deep learning approach. Expert Syst. Appl. 267, 126212 (2025)","journal-title":"Expert Syst. Appl."},{"issue":"6","key":"4519_CR21","doi-asserted-by":"publisher","first-page":"9048","DOI":"10.1109\/TII.2024.3370330","volume":"20","author":"Y Peng","year":"2024","unstructured":"Peng, Y., Xia, F., Zhang, C., Mao, J.: Deformation feature extraction and double attention feature pyramid network for bearing surface defects detection. IEEE Trans. Industr. Inf. 20(6), 9048\u20139058 (2024)","journal-title":"IEEE Trans. Industr. Inf."},{"key":"4519_CR22","doi-asserted-by":"crossref","unstructured":"Li, Y., Hu, J., Wen, Y., Evangelidis, G., Salahi, K., Wang, Y., Tulyakov, S., Ren, J.: Rethinking vision transformers for mobilenet size and speed. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 16843\u201316854 (2023)","DOI":"10.1109\/ICCV51070.2023.01549"},{"key":"4519_CR23","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Lv, W., Xu, S., Wei, J., Wang, G., Dang, Q., Liu, Y., Chen, J.: Detrs beat yolos on real-time object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16965\u201316974 (2024)","DOI":"10.1109\/CVPR52733.2024.01605"},{"key":"4519_CR24","unstructured":"Jocher, G., Chaurasia, A., Stoken, A., Borovec, J., Kwon, Y., Michael, K., Fang, J., Yifu, Z., Wong, C., Montes, D., et al.: ultralytics\/yolov5: v7. 0-yolov5 sota realtime instance segmentation. Zenodo (2022)"},{"key":"4519_CR25","unstructured":"Li, C., Li, L., Jiang, H., Weng, K., Geng, Y., Li, L., Ke, Z., Li, Q., Cheng, M., Nie, W., et al.: Yolov6: A single-stage object detection framework for industrial applications. arXiv preprint arXiv:2209.02976 (2022)"},{"key":"4519_CR26","unstructured":"Jocher, G., Chaurasia, A., Qiu, J.: Ultralytics YOLOv8. 280, 127447. https:\/\/github.com\/ultralytics\/ultralytics"},{"key":"4519_CR27","doi-asserted-by":"crossref","unstructured":"Wang, C.-Y., Liao, H.-Y.M.: Yolov9: Learning what you want to learn using programmable gradient information pp. 1-21 (2024)","DOI":"10.1007\/978-3-031-72751-1_1"},{"key":"4519_CR28","first-page":"107984","volume":"37","author":"A Wang","year":"2024","unstructured":"Wang, A., Chen, H., Liu, L., Chen, K., Lin, Z., Han, J.: Yolov10: Real-time end-to-end object detection. Adv. Neural. Inf. Process. Syst. 37, 107984\u2013108011 (2024)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"4519_CR29","unstructured":"Jocher, G., Qiu, J.: Ultralytics YOLO11. https:\/\/github.com\/ultralytics\/ultralytics"},{"key":"4519_CR30","unstructured":"Tian, Y., Ye, Q., Doermann, D.: Yolov12: Attention-centric real-time object detectors. arXiv preprint arXiv:2502.12524 (2025)"},{"key":"4519_CR31","unstructured":"Ge, Z.: Yolox: Exceeding yolo series in 2021. arXiv preprint arXiv:2107.08430 (2021)"},{"issue":"36","key":"4519_CR32","first-page":"51094","volume":"36","author":"C Wang","year":"2024","unstructured":"Wang, C., He, W., Nie, Y., Guo, J., Liu, C., Wang, Y., Han, K.: Gold-yolo: Efficient object detector via gather-and-distribute mechanism. Adv. Neural. Inf. Process. Syst. 36(36), 51094\u201351112 (2024)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"4519_CR33","unstructured":"Xu, X., Jiang, Y., Chen, W., Huang, Y., Zhang, Y., Sun, X.: Damo-yolo: A report on real-time object detection design. arXiv preprint arXiv:2211.15444 (2022)"},{"key":"4519_CR34","doi-asserted-by":"crossref","unstructured":"Tan, M., Pang, R., Le, Q.V.: Efficientdet: Scalable and efficient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10781\u201310790 (2020)","DOI":"10.1109\/CVPR42600.2020.01079"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04519-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-025-04519-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04519-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,7]],"date-time":"2025-09-07T18:06:33Z","timestamp":1757268393000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-025-04519-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,22]]},"references-count":34,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["4519"],"URL":"https:\/\/doi.org\/10.1007\/s11760-025-04519-4","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2025,7,22]]},"assertion":[{"value":"8 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 July 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 July 2025","order":4,"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 no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"890"}}