{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T10:29:00Z","timestamp":1772101740442,"version":"3.50.1"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319508344","type":"print"},{"value":"9783319508351","type":"electronic"}],"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\/978-3-319-50835-1_11","type":"book-chapter","created":{"date-parts":[[2016,12,8]],"date-time":"2016-12-08T19:42:52Z","timestamp":1481226172000},"page":"113-122","source":"Crossref","is-referenced-by-count":18,"title":["Improved Aircraft Recognition for Aerial Refueling Through Data Augmentation in Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Robert","family":"Mash","sequence":"first","affiliation":[]},{"given":"Brett","family":"Borghetti","sequence":"additional","affiliation":[]},{"given":"John","family":"Pecarina","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,12,10]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Mash, R., Becherer, N., Woolley, B.P., Pecarina, J.P.: toward aircraft recognition with convolutional neural networks. In: Proceedings of the 2016 IEEE National Avionics and Electronics Conference (2016)","DOI":"10.1109\/NAECON.2016.7856803"},{"key":"11_CR2","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1\u20139 (2012)"},{"key":"11_CR3","unstructured":"Visin, F., Kastner, K., Cho, K., Matteucci, M., Courville, A., Bengio, Y.: ReNet: a recurrent neural network based alternative to convolutional networks, pp. 1\u20139. Arxiv (2015)"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., Fei-Fei, L.: Large-scale video classification with convolutional neural networks. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1725\u20131732 (2014)","DOI":"10.1109\/CVPR.2014.223"},{"key":"11_CR5","unstructured":"Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos, pp. 1\u201311 (2014) arXiv preprint, arXiv:1406.2199"},{"key":"11_CR6","doi-asserted-by":"crossref","first-page":"1441","DOI":"10.1093\/mnras\/stv632","volume":"450","author":"S Dieleman","year":"2015","unstructured":"Dieleman, S., Willett, K., Dambre, J.: Rotation-invariant convolutional neural networks for galaxy morphology prediction. Mon. Not. R. Astron. Soc. 450, 1441\u20131459 (2015)","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"11_CR7","doi-asserted-by":"crossref","unstructured":"Yilmaz, O.: Classification of occluded objects using fast recurrent processing (2015)","DOI":"10.1109\/ICMLA.2015.149"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Malli, R.C., Aygun, M., Ekenel, H.K.: Apparent age estimation using ensemble of deep learning models (2016)","DOI":"10.1109\/CVPRW.2016.94"},{"key":"11_CR9","first-page":"1","volume":"2014","author":"K Chatfield","year":"2014","unstructured":"Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: delving deep into convolutional nets. Brit. Mach. Vision Conf. 2014, 1\u201311 (2014)","journal-title":"Brit. Mach. Vision Conf."},{"key":"11_CR10","unstructured":"Wang, K.K.: Image classification with pyramid representation and rotated data augmentation on torch 7 (2015)"},{"key":"11_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1007\/978-3-319-24947-6_43","volume-title":"Pattern Recognition","author":"B Pepik","year":"2015","unstructured":"Pepik, B., Benenson, R., Ritschel, T., Schiele, B.: What is holding back convnets for detection? In: Gall, J., Gehler, P., Leibe, B. (eds.) GCPR 2015. LNCS, vol. 9358, pp. 517\u2013528. Springer, Heidelberg (2015). doi: 10.1007\/978-3-319-24947-6_43"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Rematas, K., Ritschel, T., Fritz, M., Tuytelaars, T.: Image-based synthesis and re-synthesis of viewpoints guided by 3D models. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 3898\u20133905 (2014)","DOI":"10.1109\/CVPR.2014.498"},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Stark, M., Goesele, M., Schiele, B.: Back to the future: learning shape models from 3D CAD data. BMVC, pp. 1\u201311 (2010)","DOI":"10.5244\/C.24.106"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Xu, J., Vazquez, D., Lopez, A.M., Marin, J., Ponsa, D.: Learning a multiview part-based model in virtual world for pedestrian detection. In: Proceedings, IEEE Intelligent Vehicles Symposium, pp. 467\u2013472 (2013)","DOI":"10.1109\/IVS.2013.6629512"},{"key":"11_CR15","doi-asserted-by":"crossref","first-page":"970","DOI":"10.1109\/TVCG.2014.2317700","volume":"20","author":"S Nykl","year":"2014","unstructured":"Nykl, S., Mourning, C., Chelberg, D.: Interactive mesostructures with volumetric collisions. IEEE Trans. Vis. Comput. Graph. 20, 970\u2013982 (2014)","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"11_CR16","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M.: Generative adversarial networks, pp. 1\u20139. arXiv preprint (2014)"},{"key":"11_CR17","unstructured":"Radford, A., Metz, L., Chintala, S.: Unsupervised representation learning with deep convolutional generative adversarial networks, pp. 1\u201315. arXiv (2015)"},{"key":"11_CR18","unstructured":"Denton, E., Chintala, S., Szlam, A., Fergus, R.: Deep generative image models using a Laplacian pyramid of adversarial networks, pp. 1\u201310. Arxiv (2015)"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Dosovitskiy, A., Springenberg, J.T., Brox, T.: Learning-to-generate-chairs-with-convolutional-neural-networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1538\u20131546 (2015)","DOI":"10.1109\/CVPR.2015.7298761"},{"key":"11_CR20","unstructured":"Ross, S.M.: Formation flight control for aerial refueling. Master\u2019s thesis, pp. 1\u2013280 (2006)"}],"container-title":["Lecture Notes in Computer Science","Advances in Visual Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-50835-1_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,16]],"date-time":"2019-09-16T06:26:02Z","timestamp":1568615162000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-50835-1_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319508344","9783319508351"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-50835-1_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}