{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T04:06:12Z","timestamp":1749787572494,"version":"3.41.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319496849"},{"type":"electronic","value":"9783319496856"}],"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\/978-3-319-49685-6_10","type":"book-chapter","created":{"date-parts":[[2016,11,12]],"date-time":"2016-11-12T12:10:43Z","timestamp":1478952643000},"page":"102-112","source":"Crossref","is-referenced-by-count":0,"title":["Compressing Deep Neural Network for Facial Landmarks Detection"],"prefix":"10.1007","author":[{"given":"Dan","family":"Zeng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yixin","family":"Bao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,11,13]]},"reference":[{"key":"10_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/978-3-319-10599-4_8","volume-title":"Computer Vision \u2013 ECCV 2014","author":"D Chen","year":"2014","unstructured":"Chen, D., Ren, S., Wei, Y., Cao, X., Sun, J.: Joint cascade face detection and alignment. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8694, pp. 109\u2013122. Springer, Heidelberg (2014). doi: 10.1007\/978-3-319-10599-4_8"},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Dhall, A., Goecke, R., Joshi, J., Sikka, K., Gedeon, T.: Emotion recognition in the wild challenge 2014: baseline, data and protocol. In: Proceedings of the 16th International Conference on Multimodal Interaction, pp. 461\u2013466 (2014)","DOI":"10.1145\/2663204.2666275"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Taigman, Y., Yang, M., Ranzato, M.A., Wolf, L.: Web-scale training for face identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2746\u20132754 (2015)","DOI":"10.1109\/CVPR.2015.7298891"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Chen, J.C., Patel, V.M., Chellappa, R.: Unconstrained face verification using deep CNN features. In: 2016 IEEE Winter Conference on Applications of Computer Vision, pp. 1\u20139 (2016)","DOI":"10.1109\/WACV.2016.7477557"},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Sun, Y., Wang, X., Tang, X.: Deep convolutional network cascade for facial point detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3476\u20133483 (2013)","DOI":"10.1109\/CVPR.2013.446"},{"key":"10_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/978-3-319-10599-4_7","volume-title":"Computer Vision \u2013 ECCV 2014","author":"Z Zhang","year":"2014","unstructured":"Zhang, Z., Luo, P., Loy, C.C., Tang, X.: Facial landmark detection by deep multi-task learning. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8694, pp. 94\u2013108. Springer, Heidelberg (2014). doi: 10.1007\/978-3-319-10599-4_7"},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Toshev, A., Szegedy, C.: DeepPose: human pose estimation via deep neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1653\u20131660 (2014)","DOI":"10.1109\/CVPR.2014.214"},{"key":"10_CR8","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1109\/TPAMI.2010.57","volume":"33","author":"H Jegou","year":"2011","unstructured":"Jegou, H., Douze, M., Schmid, C.: Product quantization for nearest neighbor search. IEEE Trans. Pattern Anal. Mach. Intell. 33, 117\u2013128 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR9","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"10_CR10","doi-asserted-by":"crossref","unstructured":"Xiong, X., De la Torre, F.: Supervised descent method and its applications to face alignment. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 532\u2013539 (2013)","DOI":"10.1109\/CVPR.2013.75"},{"key":"10_CR11","unstructured":"Hinton, G.E., Srivastava, N., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.R.: Improving neural networks by preventing co-adaptation of feature detectors. arXiv preprint arXiv:1207.0580 (2012)"},{"key":"10_CR12","unstructured":"Han, S., Pool, J., Tran, J., Dally, W.: Learning both weights and connections for efficient neural network. In: Advances in Neural Information Processing Systems, pp. 1135\u20131143 (2015)"},{"key":"10_CR13","doi-asserted-by":"crossref","unstructured":"Sun, Y., Wang, X., Tang, X.: Sparsifying Reural Network Connections for Face Recognition. arXiv preprint arXiv:1512.01891 (2015)","DOI":"10.1109\/CVPR.2016.525"},{"key":"10_CR14","unstructured":"Han, S., Mao, H., Dally, W.J.: Deep compression: compressing deep neural network with pruning, trained quantization and Huffman coding. CoRR, abs\/1510.00149 (2015)"},{"key":"10_CR15","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)"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. arXiv preprint arXiv:1512.00567 (2015)","DOI":"10.1109\/CVPR.2016.308"},{"key":"10_CR17","unstructured":"Courbariaux, M., Bengio, Y.: BinaryNet: training deep neural networks with weights and activations constrained to +1 or $$-1$$ - 1 . arXiv preprint arXiv:1602.02830 (2016)"},{"key":"10_CR18","unstructured":"Denil, M., Shakibi, B., Dinh, L., de Freitas, N.: Predicting parameters in deep learning. In: Advances in Neural Information Processing Systems, pp. 2148\u20132156 (2013)"},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Scardapane, S., Comminiello, D., Hussain, A., Uncini, A.: Group sparse regularization for deep neural networks. arXiv preprint arXiv:1607.00485 (2016)","DOI":"10.1016\/j.neucom.2017.02.029"},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Sainath, T.N., Kingsbury, B., Sindhwani, V., Arisoy, E., Ramabhadran, B.: Low-rank matrix factorization for deep neural network training with high-dimensional output targets. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 6655\u20136659 (2013)","DOI":"10.1109\/ICASSP.2013.6638949"},{"key":"10_CR21","unstructured":"Denton, E.L., Zaremba, W., Bruna, J., LeCun, Y., Fergus, R.: Exploiting linear structure within convolutional networks for efficient evaluation. In: Advances in Neural Information Processing Systems, pp. 1269\u20131277 (2014)"},{"key":"10_CR22","unstructured":"Gong, Y., Liu, L., Yang, M., Bourdev, L.: Compressing deep convolutional networks using vector quantization. arXiv preprint arXiv:1412.6115 (2014)"},{"key":"10_CR23","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Darrell, T.: Caffe: convolutional architecture for fast feature embedding. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 675\u2013678 (2014)","DOI":"10.1145\/2647868.2654889"},{"key":"10_CR24","doi-asserted-by":"crossref","first-page":"2930","DOI":"10.1109\/TPAMI.2013.23","volume":"35","author":"PN Belhumeur","year":"2013","unstructured":"Belhumeur, P.N., Jacobs, D.W., Kriegman, D.J., Kumar, N.: Localizing parts of faces using a consensus of exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 35, 2930\u20132940 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR25","doi-asserted-by":"crossref","unstructured":"Zhu, X., Ramanan, D.: Face detection, pose estimation, and landmark localization in the wild. In: Computer Vision and Pattern Recognition (CVPR), pp. 2879\u20132886 (2012)","DOI":"10.1109\/CVPR.2012.6248014"},{"key":"10_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1007\/978-3-540-88688-4_6","volume-title":"Computer Vision \u2013 ECCV 2008","author":"L Liang","year":"2008","unstructured":"Liang, L., Xiao, R., Wen, F., Sun, J.: Face alignment via component-based discriminative search. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5303, pp. 72\u201385. Springer, Heidelberg (2008). doi: 10.1007\/978-3-540-88688-4_6"},{"key":"10_CR27","doi-asserted-by":"crossref","unstructured":"Sagonas, C., Tzimiropoulos, G., Zafeiriou, S., Pantic, M.: A semi-automatic methodology for facial landmark annotation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 896\u2013903 (2013)","DOI":"10.1109\/CVPRW.2013.132"}],"container-title":["Lecture Notes in Computer Science","Advances in Brain Inspired Cognitive Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-49685-6_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T12:13:59Z","timestamp":1749730439000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-49685-6_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319496849","9783319496856"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-49685-6_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}