{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T04:20:52Z","timestamp":1751516452301,"version":"3.41.0"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2018,3,17]],"date-time":"2018-03-17T00:00:00Z","timestamp":1521244800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61301241","61602229","61403353","61501417"],"award-info":[{"award-number":["61301241","61602229","61403353","61501417"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1007\/s11042-018-5875-y","type":"journal-article","created":{"date-parts":[[2018,3,17]],"date-time":"2018-03-17T13:06:27Z","timestamp":1521291987000},"page":"4381-4395","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Cascaded one-vs-rest detection network for fine-grained recognition without part annotations"],"prefix":"10.1007","volume":"78","author":[{"given":"Long","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4906-8773","authenticated-orcid":false,"given":"Shengke","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kin-Man","family":"Lam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huiyu","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muwei","family":"Jian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junyu","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,3,17]]},"reference":[{"issue":"3","key":"5875_CR1","doi-asserted-by":"publisher","first-page":"3537","DOI":"10.1007\/s11042-016-3884-2","volume":"76","author":"MA Alsmirat","year":"2017","unstructured":"Alsmirat MA, Jararweh Y, Al-Ayyoub M, Shehab MA, Gupta BB (2017) Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations. Multimed Tools Appl 76(3):3537\u20133555","journal-title":"Multimed Tools Appl"},{"issue":"18","key":"5875_CR2","doi-asserted-by":"publisher","first-page":"18451","DOI":"10.1007\/s11042-016-3930-0","volume":"76","author":"S Atawneh","year":"2017","unstructured":"Atawneh S, Almomani A, Al Bazar H, Sumari P, Gupta B (2017) Secure and imperceptible digital image steganographic algorithm based on diamond encoding in DWT domain. Multimed Tools Appl 76(18):18451\u201318472","journal-title":"Multimed Tools Appl"},{"key":"5875_CR3","doi-asserted-by":"crossref","unstructured":"Berg T, Liu J, Lee SW, Alexander ML, Jacobs DW, Belhumeur PN (2014, June) Birdsnap: Large-scale fine-grained visual categorization of birds. In: Computer Vision and Pattern Recognition (CVPR), 2014 I.E. Conference on IEEE, pp 2019\u20132026","DOI":"10.1109\/CVPR.2014.259"},{"issue":"1\u20132","key":"5875_CR4","first-page":"3","volume":"108","author":"S Branson","year":"2014","unstructured":"Branson S, Van Horn G, Wah C, Perona P, Belongie S (2014) The ignorant led by the blind: a hybrid human\u2013machine vision system for fine-grained categorization. Int J Comput Vis 108(1\u20132):3\u201329","journal-title":"Int J Comput Vis"},{"key":"5875_CR5","unstructured":"Branson S, Van Horn G, Belongie S, Perona P (2014) Bird species categorization using pose normalized deep convolutional nets. arXiv preprint arXiv:1406.2952"},{"issue":"10","key":"5875_CR6","doi-asserted-by":"publisher","first-page":"2294","DOI":"10.1109\/TNNLS.2016.2582746","volume":"28","author":"X Chang","year":"2017","unstructured":"Chang X, Yang Y (2017) Semi-supervised feature analysis by mining correlations among multiple tasks. IEEE Trans Neural Netw Learn Syst 28(10):2294\u20132305","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"8","key":"5875_CR7","doi-asserted-by":"publisher","first-page":"3911","DOI":"10.1109\/TIP.2017.2708506","volume":"26","author":"X Chang","year":"2017","unstructured":"Chang X, Ma Z, Lin M, Yang Y, Hauptmann AG (2017) Feature interaction augmented sparse learning for fast kinect motion detection. IEEE Trans Image Process 26(8):3911\u20133920","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"5875_CR8","doi-asserted-by":"publisher","first-page":"1180","DOI":"10.1109\/TCYB.2016.2539546","volume":"47","author":"X Chang","year":"2017","unstructured":"Chang X, Ma Z, Yang Y, Zeng Z, Hauptmann AG (2017) Bi-level semantic representation analysis for multimedia event detection. IEEE Trans Cybern 47(5):1180\u20131197","journal-title":"IEEE Trans Cybern"},{"issue":"8","key":"5875_CR9","doi-asserted-by":"publisher","first-page":"1617","DOI":"10.1109\/TPAMI.2016.2608901","volume":"39","author":"X Chang","year":"2017","unstructured":"Chang X, Yu YL, Yang Y, Xing EP (2017) Semantic pooling for complex event analysis in untrimmed videos. IEEE Trans Pattern Anal Mach Intell 39(8):1617\u20131632","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"5875_CR10","doi-asserted-by":"crossref","unstructured":"Gavves E, Fernando B, Snoek CG, Smeulders AW, Tuytelaars T (2013, December) Fine-grained categorization by alignments. In: Computer Vision (ICCV), 2013 I.E. International Conference on IEEE, pp 1713\u20131720","DOI":"10.1109\/ICCV.2013.215"},{"key":"5875_CR11","doi-asserted-by":"crossref","unstructured":"Girshick R (2015) Fast r-cnn. arXiv preprint arXiv:1504.08083","DOI":"10.1109\/ICCV.2015.169"},{"key":"5875_CR12","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: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 580\u2013587","DOI":"10.1109\/CVPR.2014.81"},{"key":"5875_CR13","doi-asserted-by":"crossref","unstructured":"Huang S, Xu Z, Tao D, Zhang Y (2016) Part-stacked cnn for fine-grained visual categorization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition pp 1173\u20131182","DOI":"10.1109\/CVPR.2016.132"},{"issue":"2","key":"5875_CR14","first-page":"27","volume":"7","author":"M Ibtihal","year":"2017","unstructured":"Ibtihal M, Hassan N (2017) Homomorphic encryption as a service for outsourced images in mobile cloud computing environment. Int J Cloud Appl Comput (IJCAC) 7(2):27\u201340","journal-title":"Int J Cloud Appl Comput (IJCAC)"},{"issue":"3","key":"5875_CR15","first-page":"32","volume":"6","author":"M Jouini","year":"2016","unstructured":"Jouini M, Rabai LBA (2016) A security framework for secure cloud computing environments. Int J Cloud Appl Comput (IJCAC) 6(3):32\u201344","journal-title":"Int J Cloud Appl Comput (IJCAC)"},{"key":"5875_CR16","doi-asserted-by":"crossref","unstructured":"Krause J, Jin H, Yang J, Fei-Fei L (2015, June) Fine-grained recognition without part annotations. In: Computer Vision and Pattern Recognition (CVPR), 2015 I.E. Conference on IEEE, pp 5546\u20135555","DOI":"10.1109\/CVPR.2015.7299194"},{"key":"5875_CR17","doi-asserted-by":"crossref","unstructured":"Kumar N, Belhumeur PN, Biswas A, Jacobs DW, Kress WJ, Lopez IC, Soares JV (2012) Leafsnap: A computer vision system for automatic plant species identification. In: Computer vision\u2013ECCV 2012. Springer, Berlin, pp 502\u2013516","DOI":"10.1007\/978-3-642-33709-3_36"},{"issue":"10","key":"5875_CR18","doi-asserted-by":"publisher","first-page":"2100","DOI":"10.1109\/TKDE.2017.2728531","volume":"29","author":"Z Li","year":"2017","unstructured":"Li Z, Nie F, Chang X, Yang Y (2017) Beyond trace ratio: weighted harmonic mean of trace ratios for multiclass discriminant analysis. IEEE Trans Knowl Data Eng 29(10):2100\u20132110","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"5875_CR19","doi-asserted-by":"crossref","unstructured":"Lin D, Shen X, Lu C, Jia J (2015, June) Deep lac: Deep localization, alignment and classification for fine-grained recognition. In: Computer Vision and Pattern Recognition (CVPR), 2015 I.E. Conference on IEEE, pp 1666\u20131674","DOI":"10.1109\/CVPR.2015.7298775"},{"key":"5875_CR20","doi-asserted-by":"crossref","unstructured":"Lin TY, RoyChowdhury A, Maji S (2015) Bilinear cnn models for fine-grained visual recognition. In: Proceedings of the IEEE International Conference on Computer Vision, pp 1449\u20131457","DOI":"10.1109\/ICCV.2015.170"},{"key":"5875_CR21","doi-asserted-by":"crossref","unstructured":"Maji S (2012, October) Discovering a lexicon of parts and attributes. In: European Conference on Computer Vision. Springer, Berlin, pp 21\u201330","DOI":"10.1007\/978-3-642-33885-4_3"},{"key":"5875_CR22","unstructured":"Ren S, He K, Girshick R, Sun J (2015) Faster r-cnn: Towards real-time object detection with region proposal networks. In: Advances in neural information processing systems, pp 91\u201399"},{"key":"5875_CR23","doi-asserted-by":"crossref","unstructured":"Sfar AR, Boujemaa N, Geman D (2013, June) Vantage feature frames for fine-grained categorization. In: Computer Vision and Pattern Recognition (CVPR), 2013 I.E. Conference on IEEE, pp 835\u2013842","DOI":"10.1109\/CVPR.2013.113"},{"key":"5875_CR24","doi-asserted-by":"crossref","unstructured":"Simon M, Rodner E (2015) Neural activation constellations: Unsupervised part model discovery with convolutional networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp 1143\u20131151","DOI":"10.1109\/ICCV.2015.136"},{"key":"5875_CR25","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556. 2014 Sep 4"},{"issue":"2","key":"5875_CR26","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/s11263-013-0620-5","volume":"104","author":"JR Uijlings","year":"2013","unstructured":"Uijlings JR, Van De 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":"5875_CR27","volume-title":"The caltech-ucsd birds-200-2011 dataset","author":"C Wah","year":"2011","unstructured":"Wah, C., Branson, S., Welinder, P., Perona, P., & Belongie, S. (2011). The caltech-ucsd birds-200-2011 dataset"},{"key":"5875_CR28","doi-asserted-by":"crossref","unstructured":"Xiao T, Xu Y, Yang K, Zhang J, Peng Y, Zhang Z (2015, June) The application of two-level attention models in deep convolutional neural network for fine-grained image classification. In: Computer Vision and Pattern Recognition (CVPR), 2015 I.E. Conference on IEEE, pp 842\u2013850","DOI":"10.1109\/CVPR.2015.7298685"},{"key":"5875_CR29","doi-asserted-by":"crossref","unstructured":"Yang B, Yan J, Lei Z, Li SZ (2016) Craft objects from images. arXiv preprint arXiv:1604.03239","DOI":"10.1109\/CVPR.2016.650"},{"issue":"4","key":"5875_CR30","doi-asserted-by":"publisher","first-page":"4585","DOI":"10.1007\/s11042-017-4637-6","volume":"77","author":"C Yu","year":"2018","unstructured":"Yu C, Li J, Li X et al (2018) Four-image encryption scheme based on quaternion Fresnel transform, chaos and computer generated hologram[J]. Multimed Tools Appl 77(4):4585\u20134608","journal-title":"Multimed Tools Appl"},{"key":"5875_CR31","doi-asserted-by":"crossref","unstructured":"Zhang N, Donahue J, Girshick R, Darrell T (2014, September) Part-based R-CNNs for fine-grained category detection. In: European conference on computer vision. Springer, Cham, pp 834\u2013849","DOI":"10.1007\/978-3-319-10590-1_54"},{"key":"5875_CR32","doi-asserted-by":"crossref","unstructured":"Zhang X, Xiong H, Zhou W, Tian Q (2014, November) Fused one-vs-all mid-level features for fine-grained visual categorization. In: Proceedings of the 22nd ACM international conference on Multimedia ACM, pp 287\u2013296","DOI":"10.1145\/2647868.2654937"},{"key":"5875_CR33","doi-asserted-by":"crossref","unstructured":"Zhang H, Xu T, Elhoseiny M, Huang X, Zhang S, Elgammal A, Metaxas D (2016) Spda-cnn: Unifying semantic part detection and abstraction for fine-grained recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 1143\u20131152","DOI":"10.1109\/CVPR.2016.129"},{"issue":"18","key":"5875_CR34","doi-asserted-by":"publisher","first-page":"18513","DOI":"10.1007\/s11042-016-4162-z","volume":"76","author":"Z Zhang","year":"2017","unstructured":"Zhang Z, Sun R, Zhao C, Wang J, Chang CK, Gupta BB (2017) CyVOD: a novel trinity multimedia social network scheme. Multimed Tools Appl 76(18):18513\u201318529","journal-title":"Multimed Tools Appl"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5875-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-5875-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-5875-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T21:16:58Z","timestamp":1751491018000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-5875-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,17]]},"references-count":34,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["5875"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-5875-y","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2018,3,17]]},"assertion":[{"value":"13 July 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 February 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 February 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 March 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}