{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T03:02:14Z","timestamp":1725937334814},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319715889"},{"type":"electronic","value":"9783319715896"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-71589-6_14","type":"book-chapter","created":{"date-parts":[[2017,12,28]],"date-time":"2017-12-28T19:13:18Z","timestamp":1514488398000},"page":"151-162","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Orientation Estimation Network"],"prefix":"10.1007","author":[{"given":"Jie","family":"Sun","sequence":"first","affiliation":[]},{"given":"Wengang","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Houqiang","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,12,29]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Lowe, D.G.: Object recognition from local scale-invariant features. In: ICCV, pp. 1150\u20131157 (1999)","key":"14_CR1","DOI":"10.1109\/ICCV.1999.790410"},{"doi-asserted-by":"crossref","unstructured":"Rublee, E., Rabaud, V., Konolige, K., Bradski, G.: ORB: an efficient alternative to SIFT or SURF. In: ICCV, pp. 2564\u20132571 (2011)","key":"14_CR2","DOI":"10.1109\/ICCV.2011.6126544"},{"doi-asserted-by":"crossref","unstructured":"Leutenegger, S., Chli, M., Siegwart, R.Y.: Brisk: binary robust invariant scalable keypoints. In: ICCV, pp. 2548\u20132555 (2011)","key":"14_CR3","DOI":"10.1109\/ICCV.2011.6126542"},{"unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NIPS, pp. 1097\u20131105 (2012)","key":"14_CR4"},{"unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)","key":"14_CR5"},{"doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR, pp. 770\u2013778 (2016)","key":"14_CR6","DOI":"10.1109\/CVPR.2016.90"},{"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, pp. 1\u20139 (2015)","key":"14_CR7","DOI":"10.1109\/CVPR.2015.7298594"},{"doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: CVPR, pp. 580\u2013587 (2014)","key":"14_CR8","DOI":"10.1109\/CVPR.2014.81"},{"doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN. In: ICCV, pp. 1440\u20131448 (2015)","key":"14_CR9","DOI":"10.1109\/ICCV.2015.169"},{"unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS, pp. 91\u201399 (2015)","key":"14_CR10"},{"doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask R-CNN. arXiv preprint arXiv:1703.06870 (2017)","key":"14_CR11","DOI":"10.1109\/ICCV.2017.322"},{"unstructured":"Jaderberg, M., Simonyan, K., Zisserman, A.: Spatial transformer networks. In: NIPS, pp. 2017\u20132025 (2015)","key":"14_CR12"},{"doi-asserted-by":"crossref","unstructured":"Alahi, A., Ortiz, R., Vandergheynst, P.: Freak: fast retina keypoint. In: CVPR, pp. 510\u2013517 (2012)","key":"14_CR13","DOI":"10.1109\/CVPR.2012.6247715"},{"issue":"1","key":"14_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1198\/10618600152418584","volume":"10","author":"DA Van Dyk","year":"2001","unstructured":"Van Dyk, D.A., Meng, X.L.: The art of data augmentation. J. Comput. Graph. Stat. 10(1), 1\u201350 (2001)","journal-title":"J. Comput. Graph. Stat."},{"issue":"4","key":"14_CR15","doi-asserted-by":"publisher","first-page":"538","DOI":"10.1109\/TMM.2015.2399851","volume":"17","author":"Z Liu","year":"2015","unstructured":"Liu, Z., Li, H., Zhou, W., Tian, Q.: Uniting keypoints: local visual information fusion for large scale image search. IEEE Trans. Multimed. 17(4), 538\u2013548 (2015)","journal-title":"IEEE Trans. Multimed."},{"doi-asserted-by":"crossref","unstructured":"Zhou, W., Lu, Y., Li, H., Song, Y., Tian, Q.: Spatial coding for large scale partial-duplicate web image search. In: ACM MM, pp. 131\u2013140 (2010)","key":"14_CR16","DOI":"10.1145\/1873951.1874019"},{"unstructured":"Wu, F., Hu, P., Kong, D.: Flip-rotate-pooling convolution and split dropout on convolution neural networks for image classification. arXiv preprint arXiv:1507.08754 (2015)","key":"14_CR17"},{"doi-asserted-by":"crossref","unstructured":"Marcos, D., Volpi, M., Tuia, D.: Learning rotation invariant convolutional filters for texture classification. arXiv preprint arXiv:1604.06720 (2016)","key":"14_CR18","DOI":"10.1109\/ICPR.2016.7899932"},{"unstructured":"Howard, A.G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., Adam, H.: Mobilenets: efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861 (2017)","key":"14_CR19"},{"doi-asserted-by":"crossref","unstructured":"Zhou, Y., Ye, Q., Qiu, Q., Jiao, J.: Oriented response networks. arXiv preprint arXiv:1701.01833 (2017)","key":"14_CR20","DOI":"10.1109\/CVPR.2017.527"},{"doi-asserted-by":"crossref","unstructured":"Marcos, D., Volpi, M., Komodakis, N., Tuia, D.: Rotation equivariant vector field networks. arXiv preprint arXiv:1612.09346 (2016)","key":"14_CR21","DOI":"10.1109\/ICCV.2017.540"},{"unstructured":"http:\/\/press.liacs.nl\/mirflickr\/","key":"14_CR22"},{"unstructured":"Cohen, T.S., Welling, M.: Steerable CNNs. arXiv preprint arXiv:1612.08498 (2016)","key":"14_CR23"},{"doi-asserted-by":"crossref","unstructured":"Worrall, D.E., Garbin, S.J., Turmukhambetov, D., Brostow, G.J.: Harmonic networks: deep translation and rotation equivariance. arXiv preprint arXiv:1612.04642 (2016)","key":"14_CR24","DOI":"10.1109\/CVPR.2017.758"},{"doi-asserted-by":"crossref","unstructured":"Mao, J., Li, H., Zhou, W., Yan, S., Tian, Q.: Scale-based region growing for scene text detection. In: ACM MM (2013)","key":"14_CR25","DOI":"10.1145\/2502081.2502108"},{"doi-asserted-by":"crossref","unstructured":"Zhang, X., Xiong, H., Zhou, W., Lin, W., Tian, Q.: Picking deep filter responses for fine-grained image recognition. In: CVPR, pp. 1134\u20131142 (2016)","key":"14_CR26","DOI":"10.1109\/CVPR.2016.128"}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-71589-6_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,9]],"date-time":"2022-01-09T01:08:38Z","timestamp":1641690518000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-71589-6_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319715889","9783319715896"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-71589-6_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"29 December 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icig2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/10times.com\/icig-sa","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"}]}}