{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T20:24:01Z","timestamp":1725913441955},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319699226"},{"type":"electronic","value":"9783319699233"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-69923-3_7","type":"book-chapter","created":{"date-parts":[[2017,10,18]],"date-time":"2017-10-18T22:14:39Z","timestamp":1508364879000},"page":"58-65","source":"Crossref","is-referenced-by-count":2,"title":["Max-Feature-Map Based Light Convolutional Embedding Networks for Face Verification"],"prefix":"10.1007","author":[{"given":"Zhou","family":"Yang","sequence":"first","affiliation":[]},{"given":"Meng","family":"Jian","sequence":"additional","affiliation":[]},{"given":"Bingkun","family":"Bao","sequence":"additional","affiliation":[]},{"given":"Lifang","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,20]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing human-level performance on imagenet classification. CoRR, pp. 1026\u20131034 (2015)","DOI":"10.1109\/ICCV.2015.123"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. CoRR, pp. 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Nguyen, T.H., Grishman, R.: Relation extraction: perspective from convolutional neural networks. In: The Workshop on Vector Space Modeling for Natural Language Processing, pp. 39\u201348 (2015)","DOI":"10.3115\/v1\/W15-1506"},{"key":"7_CR4","unstructured":"Zhang, Y., Wallace, B.: A sensitivity analysis of (and practitioners\u2019 guide to) convolutional neural networks for sentence classification. Comput. Sci. (2015)"},{"key":"7_CR5","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: IEEE Computer Vision and Pattern Recognition, pp. 1701\u20131708 (2014)","DOI":"10.1109\/CVPR.2014.220"},{"key":"7_CR6","first-page":"1988","volume":"27","author":"Y Sun","year":"2015","unstructured":"Sun, Y., Wang, X., Tang, X.: Deep learning face representation by joint identification-verification. Adv. Neural. Inf. Process. Syst. 27, 1988\u20131996 (2015). MIT Press","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Schroff, F., Kalenichenko, D., Philbin, J.: FaceNet: a unified embedding for face recognition and clustering. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 815\u2013823 (2015)","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Kumar, N., Berg, A.C., Belhumeur, P.N., Nayar, S.K.: Attribute and simile classifiers for face verification. In: IEEE International Conference on Computer Vision, pp. 365\u2013372 (2010)","DOI":"10.1109\/ICCV.2009.5459250"},{"key":"7_CR9","doi-asserted-by":"crossref","first-page":"1962","DOI":"10.1109\/TPAMI.2011.48","volume":"33","author":"N Kumar","year":"2011","unstructured":"Kumar, N., Berg, A.C., Belhumeur, P.N., Nayar, S.K.: Describable visual attributes for face verification and image search. IEEE Trans. Pattern Anal. Mach. Intell. 33, 1962\u20131977 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7_CR10","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. Comput. Sci. (2014)"},{"key":"7_CR11","unstructured":"Yi, D., Lei, Z., Liao, S., Li, S.Z.: Learning face representation from scratch. Comput. Sci. (2014)"},{"key":"7_CR12","unstructured":"Wu, X.: Learning robust deep face representation. Comput. Sci. (2015)"},{"key":"7_CR13","unstructured":"Wu, X., He, R., Sun, Z.: A lightened CNN for deep face representation. Comput. Sci. (2015)"},{"key":"7_CR14","unstructured":"Wu, X., He, R., Sun, Z., Tan, T.: A light CNN for deep face representation with noisy labels. Comput. Sci. (2016)"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: IEEE Computer Vision and Pattern Recognition, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., Donnahue, J., Karayev, S., Long, J., Girshick, R.B., Guadarrama, S., Darrell, T.: Caffe: convolutional architecture for fast feature embedding. In: ACM International Conference on Multimedia, pp. 675\u2013678 (2014)","DOI":"10.1145\/2647868.2654889"},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Xi, M., Chen, L., Polajnar, D., Tong, W.: Local binary pattern network: a deep learning approach for face recognition. In: IEEE International Conference on Image Processing (2016)","DOI":"10.1109\/ICIP.2016.7532955"},{"key":"7_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/978-3-319-46478-7_31","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Y Wen","year":"2016","unstructured":"Wen, Y., Zhang, K., Li, Z., Qiao, Y.: A discriminative feature learning approach for deep face recognition. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9911, pp. 499\u2013515. Springer, Cham (2016). doi: 10.1007\/978-3-319-46478-7_31"},{"key":"7_CR19","unstructured":"Huang, G.B., Mattar, M., Berg, T., Learned-Miller, E.: Labeled faces in the wild: a database for studying face recognition in unconstrained environments. Month (2008)"}],"container-title":["Lecture Notes in Computer Science","Biometric Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-69923-3_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T17:22:18Z","timestamp":1570209738000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-69923-3_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319699226","9783319699233"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-69923-3_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}