{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T08:41:07Z","timestamp":1743151267865,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819756087"},{"type":"electronic","value":"9789819756094"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-5609-4_7","type":"book-chapter","created":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T12:02:04Z","timestamp":1722340924000},"page":"81-95","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["YOLO-FLC: Lightweight Traffic Sign Detection Algorithm"],"prefix":"10.1007","author":[{"given":"Lei","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Dong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jiandong","family":"Fang","sequence":"additional","affiliation":[]},{"given":"Xiang","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Zheyin","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,31]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Ross, G., et at.: Rich feature hierarchies for accurate object detection and semantic segmentation. IEEE Conference on Computer Vision and Pattern Recognition, June 2014, pp. 580\u2013587 (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"7_CR2","doi-asserted-by":"publisher","unstructured":"Ross, G.: Fast R-CNN. In: IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 2015, pp. 1440\u20131448 (2015). [ https:\/\/doi.org\/10.1109\/ICCV.2015.169.]","DOI":"10.1109\/ICCV.2015.169"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Ren, S., et al.: Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137\u20131149 (2017)","DOI":"10.1109\/TPAMI.2016.2577031"},{"issue":"18","key":"7_CR4","doi-asserted-by":"publisher","first-page":"173","DOI":"10.3788\/LOP57.181015","volume":"57","author":"Y Zhang","year":"2020","unstructured":"Zhang, Y., Gun, Z.Y., Wei, W.W.: Traffic sign detection based on improved faster R-CNN model. Laser Optoelectron. Prog 57(18), 173\u2013181 (2020)","journal-title":"Laser Optoelectron. Prog"},{"key":"7_CR5","doi-asserted-by":"publisher","unstructured":"Li, X.J., Quan, L.F., Liu, D.M.: Traffic sign detection algorithm based on faster-RCNN. J. Jilin Univ. (Eng. Technol. Ed.), 2023\u201309\u201319,1\u201310 (2023).https:\/\/doi.org\/10.13229\/j.cnki.jdxbgxb.20230553","DOI":"10.13229\/j.cnki.jdxbgxb.20230553"},{"key":"7_CR6","doi-asserted-by":"publisher","unstructured":"Liu, W., et al.: SSD: single shot multibox detector. In: Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11--14, 2016, Proceedings, Part I 14, pp. 21\u201337 (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_2","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R.: You only look once: unified, real-time object detection. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 December, pp. 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Wan, J.X., et al.: An efficient small traffic sign detection method based on YOLOv3. J. Sign. Process. Syst. 93(8), 899 \u2013 911 (2020)","DOI":"10.1007\/s11265-020-01614-2"},{"key":"7_CR9","unstructured":"Cao, J., et al: An improved YOLOv4 lightweight traffic sign detection algorithm. IAENG Int. J. Comput. Sci. 50(3), 825\u2212831(2023)"},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Xiao, Y.Q., Yin, S.A., Cui, G.Z., et al.: E-YOLOv4-tiny: a traffic sign detection algorithm for urban road scenarios. Frontiers neurorobotics 17, 1220443\u20131220443 (2023)","DOI":"10.3389\/fnbot.2023.1220443"},{"key":"7_CR11","unstructured":"Li, Y.Q.: Deep learning traffic sign recognition based on improved YOLOv5, Master\u2019s thesis, Changsha City, Hunan Province\uff1aCentral South University of Forestry and Technology,2022.Bucila, C., Caruana, R., Niculescu-Mizil A., (eds.) .Model Compression[C]\/\/ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD\u201906).Computer Science Cornell University (2006)"},{"key":"7_CR12","unstructured":"Hinton, G., Vinyals, O., Dean, J.: Distilling the Knowledge in a Neural Network. Comput. Sci. 14(7), 38\u201339 (2015)"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Chen, J.R., et al.: Run, don\u2019t walk: chasing higher FLOPS for faster neural networks. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12021\u201312031(2023)","DOI":"10.1109\/CVPR52729.2023.01157"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Ding. X., et al.: RepVGG: Making VGG-style convnets great again. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13733\u201313742 (2021)","DOI":"10.1109\/CVPR46437.2021.01352"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Ouyang, D., et al.: Efficient multi-scale attention module with cross spatial learning. In: ICASSP 2023\u20132023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1\u22125. IEEE (2023)","DOI":"10.1109\/ICASSP49357.2023.10096516"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Tan, M.X., Pang, R.M., Le, Q.V.: EfficientDet: scalable and efficient object detection. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, pp. 10778\u201310787 (2020)","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Zheng, Z.H., et al.: Distance-IoU loss: faster and better learning for bounding box regression. Proc. AAAI Conf. Artif. Intell. 34(07), 12993\u201313000 (2019)","DOI":"10.1609\/aaai.v34i07.6999"},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., et al.: Focal loss for dense object detection. IEEE Trans. Pattern Anal. Mach. Intell. 99, 2999\u20133007 (2017)","DOI":"10.1109\/ICCV.2017.324"},{"key":"7_CR19","doi-asserted-by":"publisher","unstructured":"Lee, J., et al.: Layer-adaptive sparsity for the Magnitude-based Pruning (2020).https:\/\/doi.org\/10.48550\/arXiv.2010.07611","DOI":"10.48550\/arXiv.2010.07611"},{"key":"7_CR20","doi-asserted-by":"crossref","unstructured":"Shu, C.Y., et al.: Channel-wise Knowledge Distillation for Dense Prediction. In: 18th IEEE\/CVF International Conference on Computer Vision (ICCV), Montreal QC, Canada, 2021, pp. 5291\u20135300 (2021)","DOI":"10.1109\/ICCV48922.2021.00526"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Yang, L.R., et al.: Bridging cross-task protocol inconsistency for distillation in dense object detection. In: IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 17129\u201317138 (2023)","DOI":"10.1109\/ICCV51070.2023.01575"},{"issue":"08","key":"7_CR22","first-page":"202","volume":"60","author":"P Tian","year":"2024","unstructured":"Tian, P., Mao, L.: Improved YOLOv8 object detection algorithm for the traffic sign target. Comput. Eng. Appl. 60(08), 202\u2013212 (2024)","journal-title":"Comput. Eng. Appl."}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5609-4_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T02:13:50Z","timestamp":1732500830000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5609-4_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819756087","9789819756094"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5609-4_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"31 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}