{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:30:32Z","timestamp":1759332632900},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2018,8,30]],"date-time":"2018-08-30T00:00:00Z","timestamp":1535587200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"the Natural Science Foundation of Anhui Province","award":["1708085MF146"],"award-info":[{"award-number":["1708085MF146"]}]},{"name":"Science and Technology Support Project of Sichuan Province","award":["2016GZ0389"],"award-info":[{"award-number":["2016GZ0389"]}]},{"name":"Project of Innovation Team of Ministry of Education of China","award":["IRT17R32"],"award-info":[{"award-number":["IRT17R32"]}]},{"name":"the Fundamental Research Funds for the Central Universities","award":["PA2018GDQT0011"],"award-info":[{"award-number":["PA2018GDQT0011"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1007\/s11227-018-2569-1","type":"journal-article","created":{"date-parts":[[2018,8,30]],"date-time":"2018-08-30T06:10:09Z","timestamp":1535609409000},"page":"3327-3337","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Concise feature pyramid region proposal network for multi-scale object detection"],"prefix":"10.1007","volume":"76","author":[{"given":"Baofu","family":"Fang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,30]]},"reference":[{"issue":"8","key":"2569_CR1","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1109\/TMM.2017.2689918","volume":"19","author":"Y Zhou","year":"2017","unstructured":"Zhou Y, Han J, Yuan X, Wei Z, Hong R (2017) Inverse sparse group lasso model for robust object tracking. IEEE Trans Multimed 19(8):1798\u20131810","journal-title":"IEEE Trans Multimed"},{"issue":"4","key":"2569_CR2","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1007\/s13042-016-0540-0","volume":"9","author":"H Wang","year":"2018","unstructured":"Wang H, Fan Y, Fang B (2018) Generalized linear discriminant analysis based on Euclidean norm for gait recognition. Int J Mach Learn Cybernet 9(4):569\u2013576","journal-title":"Int J Mach Learn Cybernet"},{"key":"2569_CR3","doi-asserted-by":"crossref","unstructured":"Ommer B, Malik J (2009) Multi-scale object detection by clustering lines. In: IEEE International Conference on Computer Vision, pp 484\u2013491","DOI":"10.1109\/ICCV.2009.5459200"},{"issue":"2","key":"2569_CR4","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/s11263-013-0620-5","volume":"104","author":"JR Uijlings","year":"2013","unstructured":"Uijlings JR, Sande KE, Gevers T, Smeulders AW (2013) Selective search for object recognition. Int J Comput Vis 104(2):154\u2013171","journal-title":"Int J Comput Vis"},{"key":"2569_CR5","doi-asserted-by":"crossref","unstructured":"Zitnick CL, Doll\u00b4ar P (2014) Edge boxes: Locating object proposals from edges. In European Conference on Computer Vision, pp 391\u2013405","DOI":"10.1007\/978-3-319-10602-1_26"},{"key":"2569_CR6","doi-asserted-by":"crossref","unstructured":"Girshick R, Donahue J, Darrell T, Malik J (2014) Rich feature hierarchies for accurate object detection and semantic segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp 580\u2013587","DOI":"10.1109\/CVPR.2014.81"},{"key":"2569_CR7","doi-asserted-by":"crossref","unstructured":"Girshick R (2015) Fast R-CNN. In: IEEE International Conference on Computer Vision, pp 1440\u20131448","DOI":"10.1109\/ICCV.2015.169"},{"key":"2569_CR8","unstructured":"Ren S, He K, Girshick R, Sun J (2015) Faster R-CNN: towards real-time object detection with region proposal networks. In International Conference on Neural Information Processing Systems, pp 91\u201399"},{"key":"2569_CR9","doi-asserted-by":"crossref","unstructured":"Shrivastava A, Gupta A, Girshick R (2016) Training region-based object detectors with online hard example mining. In IEEE International Conference on Computer Vision and Pattern Recognition, pp 761\u2013769","DOI":"10.1109\/CVPR.2016.89"},{"key":"2569_CR10","doi-asserted-by":"crossref","unstructured":"Gkioxari G, Girshick R, Malik J (2015) Contextual action recognition with R-CNN. In: IEEE International Conference on Computer Vision, pp 1080\u20131088","DOI":"10.1109\/ICCV.2015.129"},{"key":"2569_CR11","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.patcog.2017.12.017","volume":"77","author":"X Yuan","year":"2018","unstructured":"Yuan X, Xie L, Abouelenien M (2018) A regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data. Pattern Recognit 77:160\u2013172","journal-title":"Pattern Recognit"},{"key":"2569_CR12","doi-asserted-by":"crossref","unstructured":"Lin T-Y, Doll\u00e1r P, Girshick R, He K, Hariharan B, Belongie S (2017) Feature pyramid networks for object detection. In: IEEE Conference on Computer Vision and Pattern Recognition, p 4","DOI":"10.1109\/CVPR.2017.106"},{"key":"2569_CR13","doi-asserted-by":"crossref","unstructured":"Zeiler MD, Krishnan D, Taylor GW, Fergus R (2010) Deconvolutional networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp 2528\u20132535","DOI":"10.1109\/CVPR.2010.5539957"},{"key":"2569_CR14","doi-asserted-by":"crossref","unstructured":"Kantorov V, Oquab M, Cho, Laptev I (2016) ContextLocNet: context-aware deep network models for weakly supervised localization. In: European Conference on Computer Vision, pp 350\u2013365","DOI":"10.1007\/978-3-319-46454-1_22"},{"key":"2569_CR15","unstructured":"Everingham M, Zisserman A, Williams CK et al The PASCAL visual object classes challenge 2007 (VOC2007) results. In: International Conference on Machine Learning Challenges: Evaluating Predictive Uncertainty Visual Object Classification and Recognizing Textual Entailment. Springer, Berlin, pp 117\u2013176"},{"key":"2569_CR16","doi-asserted-by":"crossref","unstructured":"Deng J, Dong W, Socher R, Li LJ, Li K, Li FF (2009) ImageNet: a large-scale hierarchical image database. In: IEEE International Conference on Computer Vision and Pattern Recognition, pp 248\u2013255","DOI":"10.1109\/CVPR.2009.5206848"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-018-2569-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11227-018-2569-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-018-2569-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,10]],"date-time":"2020-05-10T08:09:55Z","timestamp":1589098195000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11227-018-2569-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,30]]},"references-count":16,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["2569"],"URL":"https:\/\/doi.org\/10.1007\/s11227-018-2569-1","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,30]]},"assertion":[{"value":"30 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}