{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:08:05Z","timestamp":1750306085688,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,6,2]],"date-time":"2017-06-02T00:00:00Z","timestamp":1496361600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,6,2]]},"DOI":"10.1145\/3094243.3094258","type":"proceedings-article","created":{"date-parts":[[2017,6,26]],"date-time":"2017-06-26T12:13:28Z","timestamp":1498479208000},"page":"86-89","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A CNN based car model recognition improvement"],"prefix":"10.1145","author":[{"given":"Qi","family":"Bu","sequence":"first","affiliation":[{"name":"Communication University of China, Beijing, P.R.China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shanzhen","family":"Lan","sequence":"additional","affiliation":[{"name":"Communication University of China, Beijing, P.R.China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pin","family":"Xu","sequence":"additional","affiliation":[{"name":"Communication University of China, Beijing, P.R.China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,6,2]]},"reference":[{"volume-title":"Car Make and Model Detection System. In Qatar Foundation Annual Research Conference Proceedings.","year":"2014","author":"Somaya","key":"e_1_3_2_1_1_1"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CBMI.2013.6576568"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2007.09.014"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"e_1_3_2_1_7_1","unstructured":"Y Gao HJ Lee 2015.Deep Learning of Principal Component for Car Model Recognition In IPCV.  Y Gao HJ Lee 2015.Deep Learning of Principal Component for Car Model Recognition In IPCV."},{"first-page":"586","volume-title":"Proc. IEEE Conference on Computer Vision and Pattern Recognition","author":"Turk M.","key":"e_1_3_2_1_8_1"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390224"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Y. LeCun 1998. Gradient-Based Learning Applied to Document Recognition In Proceedings of the IEEE November.  Y. LeCun 1998. Gradient-Based Learning Applied to Document Recognition In Proceedings of the IEEE November.","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_11_1","unstructured":"Alex Krizhevsky 2012.ImageNet Classification with Deep Convolutional Neural Networks Advances in Neural Information Processing Systems 25 (NIPS).   Alex Krizhevsky 2012.ImageNet Classification with Deep Convolutional Neural Networks Advances in Neural Information Processing Systems 25 (NIPS)."},{"key":"e_1_3_2_1_12_1","unstructured":"K. Simonyan and A. Zisserman 2014. Very deep convolutional networks for large-scale image recognition In CVPR (cs.CV).  K. Simonyan and A. Zisserman 2014. Very deep convolutional networks for large-scale image recognition In CVPR (cs.CV)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Christian Szegedy 2014.Going Deeper with Convolutions In CVPR (cs.CV).  Christian Szegedy 2014.Going Deeper with Convolutions In CVPR (cs.CV).","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"K. He X. Zhang S. Ren and J. Sun 2016. Deep residual learning for image recognition In CVPR.  K. He X. Zhang S. Ren and J. Sun 2016. Deep residual learning for image recognition In CVPR.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_15_1","unstructured":"Ian J. Goodfellow 2015. Explaining and Harnessing Adversarial Examples Published as a conference paper at ICLR.  Ian J. Goodfellow 2015. Explaining and Harnessing Adversarial Examples Published as a conference paper at ICLR."},{"volume-title":"International Conference on Machine Learning (ICML).","year":"2015","author":"Yosinski Jason","key":"e_1_3_2_1_16_1"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"}],"event":{"name":"ICDLT '17: 2017 International Conference on Deep Learning Technologies","sponsor":["Southwest Jiaotong University"],"location":"Chengdu China","acronym":"ICDLT '17"},"container-title":["Proceedings of the 2017 International Conference on Deep Learning Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3094243.3094258","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3094243.3094258","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:30:16Z","timestamp":1750217416000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3094243.3094258"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,2]]},"references-count":17,"alternative-id":["10.1145\/3094243.3094258","10.1145\/3094243"],"URL":"https:\/\/doi.org\/10.1145\/3094243.3094258","relation":{},"subject":[],"published":{"date-parts":[[2017,6,2]]},"assertion":[{"value":"2017-06-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}