{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T02:40:08Z","timestamp":1751769608642,"version":"3.41.0"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319973036"},{"type":"electronic","value":"9783319973043"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-97304-3_37","type":"book-chapter","created":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T18:34:06Z","timestamp":1532630046000},"page":"477-489","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Two-Stage Unsupervised Deep Hashing for Image Retrieval"],"prefix":"10.1007","author":[{"given":"Yuan-Zhu","family":"Gan","sequence":"first","affiliation":[]},{"given":"Hao","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Yu-Bin","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,7,27]]},"reference":[{"key":"37_CR1","doi-asserted-by":"crossref","unstructured":"Andoni, A., Indyk, P.: Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. In: 47th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2006, pp. 459\u2013468. IEEE (2006)","DOI":"10.1109\/FOCS.2006.49"},{"key":"37_CR2","unstructured":"Gionis, A., Indyk, P., Motwani, R., et al.: Similarity search in high dimensions via hashing. In: VLDB 1999, pp. 518\u2013529 (1999)"},{"issue":"12","key":"37_CR3","doi-asserted-by":"publisher","first-page":"2916","DOI":"10.1109\/TPAMI.2012.193","volume":"35","author":"Y Gong","year":"2013","unstructured":"Gong, Y., Lazebnik, S., Gordo, A., Perronnin, F.: Iterative quantization: a procrustean approach to learning binary codes for large-scale image retrieval. IEEE Trans. Patt. Anal. Mach. Intell. 35(12), 2916\u20132929 (2013)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"key":"37_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Wen, F., Sun, J.: K-means hashing: an affinity-preserving quantization method for learning binary compact codes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2938\u20132945 (2013)","DOI":"10.1109\/CVPR.2013.378"},{"key":"37_CR5","doi-asserted-by":"crossref","unstructured":"Heo, J.P., Lee, Y., He, J., Chang, S.F., Yoon, S.E.: Spherical hashing. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2957\u20132964. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6248024"},{"key":"37_CR6","unstructured":"Kingma, D., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"37_CR7","unstructured":"Krizhevsky, A., Hinton, G.E.: Using very deep auto encoders for content-based image retrieval. In: ESANN (2011)"},{"key":"37_CR8","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"issue":"1","key":"37_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1126004.1126005","volume":"2","author":"Michael S. Lew","year":"2006","unstructured":"Lew, M.S., Sebe, N., Djeraba, C., Jain, R.: Content-based multimedia information retrieval: state of the art and challenges. ACM Trans. Multimed. Comput. Commun. Appl. (TOMM) 2(1), 1\u201319 (2006)","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications"},{"key":"37_CR10","unstructured":"Li, W., Wang, S., Kang, W.: Feature learning based deep supervised hashing with pairwise labels. In: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9\u201315 July 2016, pp. 1711\u20131717 (2016)"},{"key":"37_CR11","doi-asserted-by":"crossref","unstructured":"Lin, K., Yang, H.F., Hsiao, J.H., Chen, C.S.: Deep learning of binary hash codes for fast image retrieval. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 27\u201335 (2015)","DOI":"10.1109\/CVPRW.2015.7301269"},{"key":"37_CR12","doi-asserted-by":"crossref","unstructured":"Liu, H., Wang, R., Shan, S., Chen, X.: Deep supervised hashing for fast image retrieval. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2064\u20132072 (2016)","DOI":"10.1109\/CVPR.2016.227"},{"key":"37_CR13","doi-asserted-by":"crossref","unstructured":"Liu, W., Wang, J., Ji, R., Jiang, Y.G., Chang, S.F.: Supervised hashing with kernels. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2074\u20132081. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6247912"},{"issue":"5","key":"37_CR14","doi-asserted-by":"publisher","first-page":"2352","DOI":"10.1109\/TIP.2017.2678163","volume":"26","author":"J Lu","year":"2017","unstructured":"Lu, J., Liong, V.E., Zhou, J.: Deep hashing for scalable image search. IEEE Trans. Image Process. 26(5), 2352\u20132367 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"37_CR15","unstructured":"Nair, V., Hinton, G.E.: Rectified linear units improve restricted boltzmann machines. In: Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp. 807\u2013814 (2010)"},{"issue":"3","key":"37_CR16","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1023\/A:1011139631724","volume":"42","author":"A Oliva","year":"2001","unstructured":"Oliva, A., Torralba, A.: Modeling the shape of the scene: a holistic representation of the spatial envelope. Int. J. Comput. Vis. 42(3), 145\u2013175 (2001)","journal-title":"Int. J. Comput. Vis."},{"key":"37_CR17","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"issue":"1","key":"37_CR18","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/TPAMI.2011.103","volume":"34","author":"C Strecha","year":"2012","unstructured":"Strecha, C., Bronstein, A., Bronstein, M., Fua, P.: Ldahash: improved matching with smaller descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 34(1), 66\u201378 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"37_CR19","unstructured":"Szegedy, C., Toshev, A., Erhan, D.: Deep neural networks for object detection. In: Advances in Neural Information Processing Systems, pp. 2553\u20132561 (2013)"},{"key":"37_CR20","doi-asserted-by":"crossref","unstructured":"Taigman, Y., Yang, M., Ranzato, M., Wolf, L.: Deepface: closing the gap to human-level performance in face verification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1701\u20131708 (2014)","DOI":"10.1109\/CVPR.2014.220"},{"key":"37_CR21","doi-asserted-by":"crossref","unstructured":"Wang, J., Kumar, S., Chang, S.F.: Semi-supervised hashing for scalable image retrieval. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3424\u20133431. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5539994"},{"issue":"12","key":"37_CR22","doi-asserted-by":"publisher","first-page":"2393","DOI":"10.1109\/TPAMI.2012.48","volume":"34","author":"J Wang","year":"2012","unstructured":"Wang, J., Kumar, S., Chang, S.F.: Semi-supervised hashing for large-scale search. IEEE Trans. Pattern Anal. Mach. Intell. 34(12), 2393\u20132406 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"37_CR23","unstructured":"Weiss, Y., Torralba, A., Fergus, R.: Spectral hashing. In: Advances in Neural Information Processing Systems, pp. 1753\u20131760 (2009)"},{"key":"37_CR24","doi-asserted-by":"crossref","unstructured":"Xia, R., Pan, Y., Lai, H., Liu, C., Yan, S.: Supervised hashing for image retrieval via image representation learning. In: AAAI, vol. 1, pp. 2156\u20132162 (2014)","DOI":"10.1609\/aaai.v28i1.8952"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2018: Trends in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-97304-3_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T02:00:01Z","timestamp":1751767201000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-97304-3_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319973036","9783319973043"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-97304-3_37","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}