{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T09:42:04Z","timestamp":1767174124718,"version":"build-2238731810"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,4,8]],"date-time":"2017-04-08T00:00:00Z","timestamp":1491609600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Image Video Proc."],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1186\/s13640-017-0176-3","type":"journal-article","created":{"date-parts":[[2017,4,7]],"date-time":"2017-04-07T21:50:05Z","timestamp":1491601805000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Refining deep convolutional features for improving fine-grained image recognition"],"prefix":"10.1186","volume":"2017","author":[{"given":"Weixia","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenxuan","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianpeng","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dexiang","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,4,8]]},"reference":[{"key":"176_CR1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"S Huang","year":"2016","unstructured":"S Huang, Z Xu, D Tao, Y Zhang, Part-stacked CNN for fine-grained visual categorization, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016"},{"key":"176_CR2","first-page":"1666","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR)","author":"D Lin","year":"2015","unstructured":"D Lin, X Shen, C Lu, J Jia, Deep LAC: Deep localization, alignment and classification for fine-grained recognition, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2015, pp. 1666\u20131674"},{"key":"176_CR3","volume-title":"Proceedings of The British Machine Vision Conference (BMVC)","author":"S Branson","year":"2014","unstructured":"S Branson, G Van Horn, S Belongie, P Perona, Bird specifies categorization using pose normalized deep convolutional nets, in Proceedings of The British Machine Vision Conference (BMVC), 2014"},{"key":"176_CR4","first-page":"5546","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR)","author":"J Krause","year":"2015","unstructured":"J Krause, H Jin, J Yang, L Fei Fei, Fine-grained recognition without part annotations, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2015, pp. 5546\u20135555"},{"issue":"3","key":"176_CR5","first-page":"321","volume":"163","author":"Y Chai","year":"2013","unstructured":"Y Chai, V Lempitsky, A Zisserman, Symbiotic segmentation and part localization for fine-grained categorization. IEEE Int Conf Comp Vision 163(3), 321\u2013328 (2013)","journal-title":"IEEE Int Conf Comp Vision"},{"key":"176_CR6","first-page":"4749","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR)","author":"L Liu","year":"2014","unstructured":"L Liu, C Shen, A van den Henge, The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2014, pp. 4749\u20134757"},{"issue":"1","key":"176_CR7","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/s11263-015-0872-3","volume":"188","author":"M Cimpo","year":"2016","unstructured":"M Cimpo, S Maji, A Vedaldi, Deep filter banks for texture recognition, description and segmentation. Int J Comput Vis 188(1), 65\u201394 (2016)","journal-title":"Int J Comput Vis"},{"key":"176_CR8","doi-asserted-by":"crossref","unstructured":"T.Y. Lin, A. RoyChowdhury, S. Maji. Bilinear CNN models for fine-grained visual recognition. In IEEE International Conference on Computer Vision (ICCV), 1449\u20131457, 2015","DOI":"10.1109\/ICCV.2015.170"},{"key":"176_CR9","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1145\/2487575.2487591","volume-title":"Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining","author":"N Pham","year":"2013","unstructured":"N Pham, R Pagh, Fast and scalable polynomial kernels via explicit feature maps, in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013, pp. 239\u2013247"},{"issue":"5","key":"176_CR10","doi-asserted-by":"publisher","first-page":"2407","DOI":"10.1109\/TIP.2016.2549360","volume":"25","author":"Y Zhang","year":"2016","unstructured":"Y Zhang, JX Wu, JF Cai, Compact representation of high-dimensional feature vectors for large-scale image recognition and retrieval. IEEE Trans Image Process 25(5), 2407\u20132419 (2016)","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"176_CR11","doi-asserted-by":"publisher","first-page":"5706","DOI":"10.1109\/TIP.2015.2487833","volume":"24","author":"A Borji","year":"2015","unstructured":"A Borji, MM Cheng, H Jiang, J Li, Salient object detection: a benchmark. IEEE Trans Image Process 24(12), 5706\u20135722 (2015)","journal-title":"IEEE Trans Image Process"},{"key":"176_CR12","unstructured":"X. S. Wei, C-W. Xie, J. X. Wu. Mask-CNN: Localizing parts and selecting descriptors for fine-grained image recognition. arxiv.org, 1605.06878, 2016."},{"key":"176_CR13","unstructured":"X.S. Wei, J.H Luo and J.X. Wu. Selective convolutional descriptor aggregation for fine-grained image retrieval. arXiv:1604.04994,2016."},{"key":"176_CR14","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR)","author":"X Zhang","year":"2016","unstructured":"X Zhang, H Xiong, W Zhou, W Lin, Q Tian, Picking deep filter responses for fine-grained image recognition, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2016"},{"key":"176_CR15","doi-asserted-by":"publisher","unstructured":"F. Perronnin, J. S\u00e1nchez, and T. Mensink. Improving the fisher kernel for large-scale image classification. In Europeon Conference on Computer Vision(ECCV), 143\u2013156. Springer, 2010.","DOI":"10.1007\/978-3-642-15561-1_11"},{"key":"176_CR16","first-page":"1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR)","author":"F Perronnin","year":"2007","unstructured":"F Perronnin, C Dance, Fisher kernels on visual vocabularies for image categorization, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2007, pp. 1\u20138"},{"key":"176_CR17","first-page":"3304","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition(CVPR)","author":"H J\u00e9gou","year":"2010","unstructured":"H J\u00e9gou, M Douze, C Schmid, P P\u00e9rez, IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2010, pp. 3304\u20133311"},{"key":"176_CR18","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR)","author":"R Arandjelovi\u00b4c","year":"2013","unstructured":"R Arandjelovi\u00b4c, A Zisserman, All about VLAD, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2013"},{"key":"176_CR19","doi-asserted-by":"crossref","unstructured":"A. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson. CNN Features off-the-shelf: an astounding baseline for recognition. CoRR, vol. abs\/1403.6382, 2014.","DOI":"10.1109\/CVPRW.2014.131"},{"key":"176_CR20","volume-title":"Proceedings of The British Machine Vision Conference (BMVC)","author":"K Chatfield","year":"2014","unstructured":"K Chatfield, K Simonyan, A Vedaldi, A Zisserman, Return of the devil in the details: delving deep into convolutional nets, in Proceedings of The British Machine Vision Conference (BMVC), 2014"},{"key":"176_CR21","doi-asserted-by":"publisher","unstructured":"D. G. Lowe. Object recognition from local scale-invariant features. In The proceedings of the seventh IEEE international conference on Computer Vision (ICCV). 2:1150\u20131157,1999","DOI":"10.1109\/ICCV.1999.790410"},{"key":"176_CR22","first-page":"886","volume":"1","author":"N Dalal","year":"2005","unstructured":"N Dalal, B Triggs, Histograms of oriented gradients for human detection. Proc IEEE Conf Comput Vis Pattern Recognit 1, 886\u2013893 (2005)","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"issue":"1","key":"176_CR23","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/0031-3203(95)00067-4","volume":"29","author":"T Ojala","year":"1998","unstructured":"T Ojala, M Pietikinen, D Harwood, A comparative study of texture measures with classification based on feature distributions. Pattern Recogn 29(1), 51\u201359 (1998)","journal-title":"Pattern Recogn"},{"key":"176_CR24","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Y Gao","year":"2016","unstructured":"Y Gao, O Beijbom, N Zhang, T Darrell, Compact bilinear pooling, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016"},{"key":"176_CR25","unstructured":"K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. CoRR abs\/1409.1556,2014."},{"key":"176_CR26","unstructured":"S. Maji, E. Rahtu, J. Kannala, M. Blaschoko and A. Vedaldi. Fine-grained visual classification of aircraft. arXiv:1306.5151,2013"},{"key":"176_CR27","volume-title":"3D Representations and Recognition Workshop, The proceedings of the seventh IEEE international conference on Computer Vision (ICCV)","author":"J Krause","year":"2013","unstructured":"J Krause, M Stark, J Deng, L Fei-Fei, 3d object representation for fine-grained categorization, in 3D Representations and Recognition Workshop, The proceedings of the seventh IEEE international conference on Computer Vision (ICCV), 2013"},{"key":"176_CR28","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"A Khosla","year":"2011","unstructured":"A Khosla, N Jayadevaprakash, B Yao, L Fei-Fei, Novel dataset for fine-grained image categorization, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011"},{"key":"176_CR29","unstructured":"A. Krizhevsky, I. Sutskever and G. Hinton. ImageNet classification with deep convolutional neural networks. Advances in Neural Information Processing Systems, 25(2):1097-1105,2012"},{"key":"176_CR30","doi-asserted-by":"crossref","unstructured":"A. Vedaldi and K. Lenc. MatConvNet: Convolutional neural networks for MATLAB, 2014. Software available at http:\/\/www.vlfeat.org\/matconvnet\/ .","DOI":"10.1145\/2733373.2807412"},{"key":"176_CR31","unstructured":"A. Vedaldi and B. Fulkerson. VLFeat: An open and portable library of computer vision algorithms, 2008. Software available at http:\/\/www.vlfeat.org\/ ."},{"key":"176_CR32","unstructured":"M. Jaderberg, K. Simonyan, A. Zisserman and K. Kavukcuoglu. Spatial transformer networks. In Conference and Workshop on Neural Information Processing Systems (NIPS). 2008\u20132016, 2015"},{"key":"176_CR33","first-page":"1143","volume-title":"The proceedings of the seventh IEEE international conference on Computer Vision (ICCV)","author":"M Simon","year":"2015","unstructured":"M Simon, E Rodner, Neural activation constellations: unsupervised part model discovery with convolutional networks, in The proceedings of the seventh IEEE international conference on Computer Vision (ICCV), 2015, pp. 1143\u20131151"},{"key":"176_CR34","doi-asserted-by":"publisher","unstructured":"P. H. Gosselin, N. Murray, H. J\u00e9gou and F. Perronnin. Revisiting the fisher vector for fine-grained classification. Pattern Recognition Letters, Elsevier, 49, pp.92-98, 2014","DOI":"10.1016\/j.patrec.2014.06.011"},{"key":"176_CR35","first-page":"860","volume-title":"IEEE Winter Conference on Application of Computer Vision (WCAC)","author":"G Chen","year":"2015","unstructured":"G Chen, J Yang, H Jin, E Shechtman, J Brandt, Selective pooling vector for fine-grained recognition, in IEEE Winter Conference on Application of Computer Vision (WCAC), 2015, pp. 860\u2013867"}],"updated-by":[{"DOI":"10.1186\/s13640-017-0183-4","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2017,5,8]],"date-time":"2017-05-08T00:00:00Z","timestamp":1494201600000}}],"container-title":["EURASIP Journal on Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13640-017-0176-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13640-017-0176-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13640-017-0176-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,20]],"date-time":"2019-09-20T16:12:58Z","timestamp":1568995978000},"score":1,"resource":{"primary":{"URL":"https:\/\/jivp-eurasipjournals.springeropen.com\/articles\/10.1186\/s13640-017-0176-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,8]]},"references-count":35,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["176"],"URL":"https:\/\/doi.org\/10.1186\/s13640-017-0176-3","relation":{},"ISSN":["1687-5281"],"issn-type":[{"value":"1687-5281","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,8]]},"article-number":"27"}}