{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T14:34:25Z","timestamp":1726065265039},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030339494"},{"type":"electronic","value":"9783030339500"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-33950-0_22","type":"book-chapter","created":{"date-parts":[[2020,1,22]],"date-time":"2020-01-22T18:03:33Z","timestamp":1579716213000},"page":"245-255","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation"],"prefix":"10.1007","author":[{"given":"Siyi","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaji","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenzhong","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dit-Yan","family":"Yeung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew T.","family":"Mason","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,1,23]]},"reference":[{"issue":"4","key":"22_CR1","doi-asserted-by":"publisher","first-page":"2111","DOI":"10.1109\/LRA.2017.2720845","volume":"2","author":"J Zhou","year":"2017","unstructured":"Zhou, J., Paolini, R., Johnson, A.M., Bagnell, J.A., Mason, M.T.: A probabilistic planning framework for planar grasping under uncertainty. IEEE Robot. Autom. Lett. 2(4), 2111\u20132118 (2017)","journal-title":"IEEE Robot. Autom. Lett."},{"key":"22_CR2","doi-asserted-by":"crossref","unstructured":"Mitash, C., Bekris, K.E., Boularias, A.: A self-supervised learning system for object detection using physics simulation and multi-view pose estimation. In: IROS (2017)","DOI":"10.1109\/IROS.2017.8202206"},{"key":"22_CR3","doi-asserted-by":"crossref","unstructured":"Tobin, J., Fong, R., Ray, A., Schneider, J., Zaremba, W., Abbeel, P.: Domain randomization for transferring deep neural networks from simulation to the real world. In: IROS (2017)","DOI":"10.1109\/IROS.2017.8202133"},{"key":"22_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask R-CNN. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.322"},{"key":"22_CR5","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 (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"22_CR6","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS (2015)"},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Zeng, A., Yu, K.T., Song, S., Suo, D., Walker, E., Rodriguez, A., Xiao, J.: Multi-view self-supervised deep learning for 6D pose estimation in the amazon picking challenge. In: ICRA (2017)","DOI":"10.1109\/ICRA.2017.7989165"},{"issue":"4\u20135","key":"22_CR9","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1177\/0278364917713117","volume":"37","author":"M Schwarz","year":"2018","unstructured":"Schwarz, M., Milan, A., Periyasamy, A.S., Behnke, S.: Rgb-d object detection and semantic segmentation for autonomous manipulation in clutter. Int. J. Robot. Res. 37(4\u20135), 437\u2013451 (2018)","journal-title":"Int. J. Robot. Res."},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Richter, S.R., Hayder, Z., Koltun, V.: Playing for benchmarks. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.243"},{"issue":"11","key":"22_CR11","doi-asserted-by":"publisher","first-page":"2232","DOI":"10.1109\/TPAMI.2015.2408347","volume":"37","author":"B Pepik","year":"2015","unstructured":"Pepik, B., Stark, M., Gehler, P., Schiele, B.: Multi-view and 3D deformable part models. IEEE Trans. Pattern Anal. Mach. Intell. 37(11), 2232\u20132245 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Varol, G., Romero, J., Martin, X., Mahmood, N., Black, M.J., Laptev, I., Schmid, C.: Learning from synthetic humans. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.492"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Su, H., Qi, C.R., Li, Y., Guibas, L.J.: Render for CNN: viewpoint estimation in images using CNNs trained with rendered 3D model views. In: ICCV (2015)","DOI":"10.1109\/ICCV.2015.308"},{"key":"22_CR14","doi-asserted-by":"crossref","unstructured":"Sadeghi, F., Levine, S.: (CAD)$$^2$$RL: real single-image flight without a single real image. In: RSS (2017)","DOI":"10.15607\/RSS.2017.XIII.034"},{"key":"22_CR15","doi-asserted-by":"crossref","unstructured":"Li, S., Liu, T., Zhang, C., Yeung, D.Y., Shen, S.: Learning unmanned aerial vehicle control for autonomous target following. In: IJCAI (2018)","DOI":"10.24963\/ijcai.2018\/685"},{"key":"22_CR16","unstructured":"Blender. \nhttp:\/\/www.blender.org\/"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Calli, B., Singh, A., Walsman, A., Srinivasa, S., Abbeel, P., Dollar, A.M.: The YCB object and model set: towards common benchmarks for manipulation research. In: ICAR (2015)","DOI":"10.1109\/ICAR.2015.7251504"},{"key":"22_CR18","unstructured":"Bullet. \nhttp:\/\/bulletphysics.org\/"},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"22_CR20","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Doll\u00e1r, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.106"},{"issue":"3","key":"22_CR21","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"22_CR22","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Doll\u00e1r, P., Zitnick, C.L.: Microsoft COCO: common objects in context. In: ECCV (2014)","DOI":"10.1007\/978-3-319-10602-1_48"}],"container-title":["Springer Proceedings in Advanced Robotics","Proceedings of the 2018 International Symposium on Experimental Robotics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-33950-0_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,22]],"date-time":"2020-01-22T18:09:16Z","timestamp":1579716556000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-33950-0_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030339494","9783030339500"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33950-0_22","relation":{},"ISSN":["2511-1256","2511-1264"],"issn-type":[{"type":"print","value":"2511-1256"},{"type":"electronic","value":"2511-1264"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"23 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISER","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Experimental Robotics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Buenos Aires","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Argentina","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iser2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iser2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}