{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T02:37:38Z","timestamp":1768271858299,"version":"3.49.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319464749","type":"print"},{"value":"9783319464756","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-46475-6_6","type":"book-chapter","created":{"date-parts":[[2016,9,16]],"date-time":"2016-09-16T08:48:10Z","timestamp":1474015690000},"page":"86-101","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Taxonomy-Regularized Semantic Deep Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Wonjoon","family":"Goo","sequence":"first","affiliation":[]},{"given":"Juyong","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Gunhee","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Sung Ju","family":"Hwang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,9,17]]},"reference":[{"key":"6_CR1","unstructured":"Bengio, S., Weston, J., Grangier, D.: Label embedding trees for large multi-class task. In: NIPS (2010)"},{"key":"6_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1007\/978-3-319-10590-1_4","volume-title":"Computer Vision \u2013 ECCV 2014","author":"J Deng","year":"2014","unstructured":"Deng, J., Ding, N., Jia, Y., Frome, A., Murphy, K., Bengio, S., Li, Y., Neven, H., Adam, H.: Large-scale object classification using label relation graphs. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 48\u201364. Springer, Heidelberg (2014). doi:\n                      10.1007\/978-3-319-10590-1_4"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: CVPR (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"6_CR4","unstructured":"Frome, A., Corrado, G., Shlens, J., Bengio, S., Dean, J., Ranzato, M., Mikolov, T.: Devise: a deep visual-semantic embedding model. In: NIPS (2013)"},{"key":"6_CR5","unstructured":"Gao, T., Koller, D.: Discriminative learning of relaxed hierarchy for large-scale visual recognition. In: ICCV (2011)"},{"key":"6_CR6","unstructured":"Hwang, S.J.: Discriminative object categorization with external semantic knowledge. Ph.D. dissertation, The University of Texas at Austin (2013)"},{"key":"6_CR7","unstructured":"Hwang, S.J., Grauman, K., Sha, F.: Learning a tree of metrics with disjoint visual features. In: NIPS (2011)"},{"key":"6_CR8","unstructured":"Hwang, S.J., Grauman, K., Sha, F.: Semantic kernel forests from multiple taxonomies. In: NIPS (2012)"},{"key":"6_CR9","unstructured":"Hwang, S.J., Sigal, L.: A unified semantic embedding: relating taxonomies and attributes. In: NIPS (2014)"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Jia, Y.: Caffe: an open source convolutional architecture for fast feature embedding. \n                      arXiv:1408.5093\n                      \n                     (2013)","DOI":"10.1145\/2647868.2654889"},{"key":"6_CR11","unstructured":"Krizhevsky, A.: Learning multiple layers of features from tiny images. Master\u2019s thesis, University of Toronto (2009)"},{"key":"6_CR12","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: NIPS (2012)"},{"issue":"11","key":"6_CR13","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y Lecun","year":"1998","unstructured":"Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"6_CR14","unstructured":"Lin, M., Chen, Q., Yan, S.: Network in network. In: ICLR (2014)"},{"key":"6_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1007\/978-3-540-88693-8_35","volume-title":"Computer Vision \u2013 ECCV 2008","author":"M Marsza\u0142ek","year":"2008","unstructured":"Marsza\u0142ek, M., Schmid, C.: Constructing category hierarchies for visual recognition. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5305, pp. 479\u2013491. Springer, Heidelberg (2008). doi:\n                      10.1007\/978-3-540-88693-8_35"},{"issue":"4","key":"6_CR16","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1093\/ijl\/3.4.235","volume":"3","author":"GA Miller","year":"1990","unstructured":"Miller, G.A., Beckwith, R., Fellbaum, C.D., Gross, D., Miller, K.: WordNet: an online lexical database. Int. J. Lexicograph 3(4), 235\u2013244 (1990)","journal-title":"Int. J. Lexicograph"},{"key":"6_CR17","unstructured":"Salakhutdinov, R.R., Tenenbaum, J.B., Torralba, A.: Learning to learn with compound HD models. In: NIPS (2011)"},{"key":"6_CR18","unstructured":"Simonyan, K., Zisserman, A.: Imagenet classification with deep convolutional neural networks. In: ICLR (2015)"},{"key":"6_CR19","unstructured":"Srivastava, N., Salakhutdinov, R.R.: Discriminative transfer learning with tree-based priors. In: NIPS (2013)"},{"key":"6_CR20","unstructured":"Stollenga, M.F., Masci, J., Gomez, F., Schmidhuber, J.: Deep networks with internal selective attention through feedback connections. In: NIPS (2014)"},{"key":"6_CR21","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: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"6_CR22","doi-asserted-by":"crossref","unstructured":"Xiao, T., Zhang, J., Yang, K., Peng, Y., Zhang, Z.: Error-driven incremental learning in deep convolutional neural network for large-scale image classification. In: ACM MM (2014)","DOI":"10.1145\/2647868.2654926"},{"key":"6_CR23","doi-asserted-by":"crossref","unstructured":"Yan, Z., Zhang, H., Jagadeesh, V., DeCoste, D., Di, W., Yu, Y.: HD-CNN: hierarchical deep convolutional neural network for image classification. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.314"},{"key":"6_CR24","unstructured":"Zhao, B., Fei-Fei, L., Xing, E.P.: Large-scale category structure aware image categorization. In: NIPS (2011)"},{"key":"6_CR25","unstructured":"Zhou, B., Lapedriza, A., Xiao, J., Torralba, A., Oliva, A.: Learning deep features for scene recognition using places database. In: NIPS (2014)"},{"key":"6_CR26","unstructured":"Zhou, D., Xiao, L., Wu, M.: Hierarchical classification via orthogonal transfer. In: ICML (2011)"},{"key":"6_CR27","first-page":"988","volume":"9","author":"Y Zhou","year":"2010","unstructured":"Zhou, Y., Jin, R., Hoi, S.C.H.: Exclusive lasso for multi-task feature selection. JMLR 9, 988\u2013995 (2010)","journal-title":"JMLR"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2016"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46475-6_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,10]],"date-time":"2020-10-10T00:58:58Z","timestamp":1602291538000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46475-6_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319464749","9783319464756"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46475-6_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"17 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eccv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}