{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T10:19:48Z","timestamp":1742638788917},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319488950"},{"type":"electronic","value":"9783319488967"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-48896-7_26","type":"book-chapter","created":{"date-parts":[[2016,11,26]],"date-time":"2016-11-26T09:18:05Z","timestamp":1480151885000},"page":"262-274","source":"Crossref","is-referenced-by-count":4,"title":["Heterogeneous Convolutional Neural Networks for Visual Recognition"],"prefix":"10.1007","author":[{"given":"Xiangyang","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis","family":"Herranz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuqiang","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,11,27]]},"reference":[{"key":"26_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1007\/978-3-319-10584-0_22","volume-title":"Computer Vision \u2013 ECCV 2014","author":"P Agrawal","year":"2014","unstructured":"Agrawal, P., Girshick, R., Malik, J.: Analyzing the performance of multilayer neural networks for object recognition. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8695, pp. 329\u2013344. Springer, Heidelberg (2014). doi: 10.1007\/978-3-319-10584-0_22"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: delving deep into convolutional nets. In: Proceedings of the British Machine Vision Conference, BMVC 2014 (2014)","DOI":"10.5244\/C.28.6"},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Ciregan, D., Meier, U., Schmidhuber, J.: Multi-column deep neural networks for image classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012, pp. 3642\u20133649 (2012)","DOI":"10.1109\/CVPR.2012.6248110"},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Dixit, M., Chen, S., Gao, D., Rasiwasia, N., Vasconcelos, N.: Scene classification with semantic fisher vectors. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, pp. 2974\u20132983 (2015)","DOI":"10.1109\/CVPR.2015.7298916"},{"key":"26_CR5","unstructured":"Erhan, D., Bengio, Y., Courville, A., Vincent, P.: Visualizing higher-layer features of a deep network. Technical report, Department of IRO, Universit\u00e9 de Montr\u00e9al (2009)"},{"issue":"10","key":"26_CR6","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1109\/34.58871","volume":"12","author":"LK Hansen","year":"1990","unstructured":"Hansen, L.K., Salamon, P.: Neural network ensembles. IEEE Trans. Pattern Anal. Mach. Intell. 12(10), 993\u20131001 (1990)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9","key":"26_CR7","doi-asserted-by":"crossref","first-page":"1904","DOI":"10.1109\/TPAMI.2015.2389824","volume":"37","author":"K He","year":"2015","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(9), 1904\u20131916 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the 2014 ACM Conference on Multimedia, MM 2014. pp. 675\u2013678 (2014)","DOI":"10.1145\/2647868.2654889"},{"key":"26_CR9","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Proceedings of the 26th Annual Conference on Neural Information Processing Systems, NIPS 2012, vol. 2, pp. 1097\u20131105 (2012)"},{"issue":"4","key":"26_CR10","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1162\/neco.1989.1.4.541","volume":"1","author":"Y LeCun","year":"1989","unstructured":"LeCun, Y., Boser, B., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W., Jackel, L.D.: Backpropagation applied to handwritten zip code recognition. Neural Comput. 1(4), 541\u2013551 (1989)","journal-title":"Neural Comput."},{"key":"26_CR11","unstructured":"Lin, M., Chen, Q., Yan, S.: Network in network. In: Proceedings of the International Conference on Learning Representations, ICLR 2014 (2014)"},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Quattoni, A., Torralba, A.: Recognizing indoor scenes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, pp. 413\u2013420 (2009)","DOI":"10.1109\/CVPR.2009.5206537"},{"issue":"3","key":"26_CR13","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakvovsky","year":"2015","unstructured":"Russakvovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Kholsa, A., Bernstein, M., Berg, A., Fei-Fei, L.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"26_CR14","unstructured":"Sermante, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R., LeCun, Y.: Overfeat: integrated recognition, localization and detection using convolutional networks. In: Proceedings of the International Conference on Learning Representations, ICLR 2014 (2014)"},{"key":"26_CR15","unstructured":"Simonyan, K., Vedaldi, A., Zisserman, A.: Deep inside convolutional networks: visualising image classification models and saliency maps. In: Proceedings of the International Conference on Learning Representations Workshops, ICLR Workshops 2014 (2014)"},{"key":"26_CR16","unstructured":"Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos. In: Proceedings of the 28th Annual Conference on Neural Information Processing Systems, NIPS 2014, vol. 1, pp. 568\u2013576 (2014)"},{"key":"26_CR17","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: Proceedings of the International Conference on Learning Representations, ICLR 2015 (2015)"},{"key":"26_CR18","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"26_CR19","first-page":"2579","volume":"9","author":"L Maaten Van Der","year":"2008","unstructured":"Van Der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9, 2579\u20132605 (2008)","journal-title":"J. Mach. Learn. Res."},{"issue":"3","key":"26_CR20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2700292","volume":"11","author":"S Wang","year":"2015","unstructured":"Wang, S., Jiang, S.: INSTRE: a new benchmark for instance-level object retrieval and recognition. ACM Trans. Multimedia Comput. Commun. Appl. (TOMM) 11(3), 1\u201321 (2015)","journal-title":"ACM Trans. Multimedia Comput. Commun. Appl. (TOMM)"},{"key":"26_CR21","unstructured":"Wu, C., Fan, W., He, Y., Sun, J., Naoi, S.: Cascaded heterogeneous convolutional neural networks for handwritten digit recognition. In: Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, pp. 657\u2013660 (2012)"},{"key":"26_CR22","doi-asserted-by":"crossref","unstructured":"Wu, R., Wang, B., Wang, W., Yu, Y.: Harvesting discrimnative meta object with deep CNN features for scene classification. In: IEEE International Conference on Computer Vision, ICCV 2015 (2015)","DOI":"10.1109\/ICCV.2015.152"},{"key":"26_CR23","unstructured":"Wu, Z., Zhang, Y., Yu, F., Xiao, J.: A GPU implementation of GoogLeNet. Technical report, Priceton University (2014)"},{"key":"26_CR24","doi-asserted-by":"crossref","unstructured":"Xiao, J., Hays, J., Ehinger, K.A., Oliva, A., Torralba, A.: Sun database: large-scale scene recognition from abbey to zoo. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognitions, CVPR 2010, pp. 3485\u20133492 (2010)","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"26_CR25","unstructured":"Yosinski, J., Clune, J., Bengio, Y., Lipson, H.: How transferable are features in deep neural networks? In: Proceedings of the 28th Annual Conference on Neural Information Processing Systems 2014, NIPS 2014, vol. 4, pp. 3320\u20133328 (2014)"},{"key":"26_CR26","unstructured":"Zhou, B., Lapedriza, A., Xiao, J., Torralba, A., Oliva, A.: Learning deep features for scene recognition using places database. In: Proceedings of the 28th Annual Conference on Neural Information Processing Systems 2014, NIPS 2014, vol. 1, pp. 487\u2013495 (2014)"}],"container-title":["Lecture Notes in Computer Science","Advances in Multimedia Information Processing - PCM 2016"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48896-7_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,25]],"date-time":"2017-06-25T00:33:48Z","timestamp":1498350828000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-48896-7_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319488950","9783319488967"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48896-7_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}