{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T20:40:51Z","timestamp":1767904851055,"version":"3.49.0"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319683447","type":"print"},{"value":"9783319683454","type":"electronic"}],"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\/978-3-319-68345-4_34","type":"book-chapter","created":{"date-parts":[[2017,10,9]],"date-time":"2017-10-09T21:32:35Z","timestamp":1507584755000},"page":"384-393","source":"Crossref","is-referenced-by-count":13,"title":["Bridging Between Computer and Robot Vision Through Data Augmentation: A Case Study on Object Recognition"],"prefix":"10.1007","author":[{"given":"Antonio","family":"D\u2019Innocente","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio Maria","family":"Carlucci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mirco","family":"Colosi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Barbara","family":"Caputo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,11]]},"reference":[{"key":"34_CR1","unstructured":"Tai, L., Liu, M.: Deep-learning in mobile robotics-from perception to control systems: a survey on why and why not. arXiv preprint arXiv:1612.07139 (2016)"},{"issue":"3","key":"34_CR2","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., Deng, J., Su, H., et al.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: The IEEE Conference on Computer Vision and Pattern Recognition (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"34_CR4","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: The Conference and Workshop on Neural Information Processing Systems, pp. 1106\u20131114 (2012)"},{"key":"34_CR5","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: The IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: The IEEE Conference on Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.308"},{"key":"34_CR7","unstructured":"Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., Darrell, T.: DeCAF: a deep convolutional activation feature for generic visual recognition. In: The International Conference on Machine Learning (2014)"},{"key":"34_CR8","unstructured":"Li, C., Reiter, A., Hager, G.D.: Beyond spatial pooling fine-grained representation learning in multiple domains. In: The IEEE Conference on Computer Vision and Pattern Recognition (2015)"},{"key":"34_CR9","doi-asserted-by":"crossref","unstructured":"Fanello, S.R., Ciliberto, C., Natale, L., Metta, G.: Weakly supervised strategies for natural object recognition in robotics. In: IEEE International Conference on Robotics and Automation, pp. 4223\u20134229 (2013)","DOI":"10.1109\/ICRA.2013.6631174"},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Lai, K., Bo, L., Ren, X., Fox, D.: A large-scale hierarchical multi-view rgb-d object dataset. In: IEEE International Conference on Robotics and Automation (2011)","DOI":"10.1109\/ICRA.2011.5980382"},{"key":"34_CR11","doi-asserted-by":"crossref","unstructured":"Young, J., Kunze, L., Basile, V., Cabrio, E., Hawes, N., Caputo, B.: Semantic web-mining and deep vision for lifelong object discovery. In: IEEE International Conference on Robotics and Automation (2017)","DOI":"10.1109\/ICRA.2017.7989323"},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"Eitel, A., Springenberg, J.T., Spinello, L., Riedmiller, M., Burgard, W.: Multimodal deep learning for robust RGB-D object recognition. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems (2015)","DOI":"10.1109\/IROS.2015.7353446"},{"key":"34_CR13","doi-asserted-by":"crossref","unstructured":"Gupta, S., Girshick, R., Arbelaez, P., Malik, J.: Learning rich features from RGB-D images for object detection and segmentation. In: European Conference on Computer Vision (2014)","DOI":"10.1007\/978-3-319-10584-0_23"},{"key":"34_CR14","doi-asserted-by":"crossref","unstructured":"Schwarz, M., Schulz, H., Behnke, S.: RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features. In: IEEE International Conference on Robotics and Automation (2015)","DOI":"10.1109\/ICRA.2015.7139363"},{"key":"34_CR15","doi-asserted-by":"crossref","unstructured":"Pasquale, G., et al.: Object identification from few examples by improving the invariance of a deep convolutional neural network. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems (2016)","DOI":"10.1109\/IROS.2016.7759720"}],"container-title":["Lecture Notes in Computer Science","Computer Vision Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68345-4_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T07:27:15Z","timestamp":1570174035000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-68345-4_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319683447","9783319683454"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68345-4_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}