{"year":"2013","publisher":"IEEE","scopus_import":1,"oa_version":"Submitted Version","oa":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2018-12-11T11:56:49Z","publist_id":"4634","project":[{"call_identifier":"FP7","grant_number":"308036","_id":"2532554C-B435-11E9-9278-68D0E5697425","name":"Lifelong Learning of Visual Scene Understanding"}],"title":"Drosophila Embryo Stage Annotation using Label Propagation","quality_controlled":"1","status":"public","month":"12","date_updated":"2021-01-12T06:56:35Z","type":"conference","author":[{"last_name":"Kazmar","first_name":"Tomas","full_name":"Kazmar, Tomas"},{"full_name":"Kvon, Evgeny","first_name":"Evgeny","last_name":"Kvon"},{"full_name":"Stark, Alexander","last_name":"Stark","first_name":"Alexander"},{"first_name":"Christoph","last_name":"Lampert","full_name":"Lampert, Christoph","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8622-7887"}],"day":"01","doi":"10.1109/ICCV.2013.139","_id":"2294","department":[{"_id":"ChLa"}],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"In this work we propose a system for automatic classification of Drosophila embryos into developmental stages.\r\nWhile the system is designed to solve an actual problem in biological research, we believe that the principle underly-\r\ning it is interesting not only for biologists, but also for researchers in computer vision. The main idea is to combine two orthogonal sources of information:  one is a classifier trained on strongly invariant features,  which makes it applicable to images of very different conditions, but also leads to rather noisy predictions. The other is a label propagation step based on a more powerful similarity measure that however is only consistent within specific subsets of the data at a time.\r\nIn our biological setup, the information sources are the shape and the staining patterns of embryo images. We show\r\nexperimentally  that  while  neither  of  the  methods  can  be used by itself to achieve satisfactory results, their combina-\r\ntion achieves prediction quality comparable to human performance."}],"main_file_link":[{"url":"http://www.cv-foundation.org/openaccess/ICCV2013.py","open_access":"1"}],"date_published":"2013-12-01T00:00:00Z","conference":{"end_date":"2013-12-08","location":"Sydney, Australia","name":"ICCV: International Conference on Computer Vision","start_date":"2013-12-01"},"publication_status":"published","citation":{"mla":"Kazmar, Tomas, et al. <i>Drosophila Embryo Stage Annotation Using Label Propagation</i>. IEEE, 2013, doi:<a href=\"https://doi.org/10.1109/ICCV.2013.139\">10.1109/ICCV.2013.139</a>.","ieee":"T. Kazmar, E. Kvon, A. Stark, and C. Lampert, “Drosophila Embryo Stage Annotation using Label Propagation,” presented at the ICCV: International Conference on Computer Vision, Sydney, Australia, 2013.","ama":"Kazmar T, Kvon E, Stark A, Lampert C. Drosophila Embryo Stage Annotation using Label Propagation. In: IEEE; 2013. doi:<a href=\"https://doi.org/10.1109/ICCV.2013.139\">10.1109/ICCV.2013.139</a>","apa":"Kazmar, T., Kvon, E., Stark, A., &#38; Lampert, C. (2013). Drosophila Embryo Stage Annotation using Label Propagation. Presented at the ICCV: International Conference on Computer Vision, Sydney, Australia: IEEE. <a href=\"https://doi.org/10.1109/ICCV.2013.139\">https://doi.org/10.1109/ICCV.2013.139</a>","ista":"Kazmar T, Kvon E, Stark A, Lampert C. 2013. Drosophila Embryo Stage Annotation using Label Propagation. ICCV: International Conference on Computer Vision.","chicago":"Kazmar, Tomas, Evgeny Kvon, Alexander Stark, and Christoph Lampert. “Drosophila Embryo Stage Annotation Using Label Propagation.” IEEE, 2013. <a href=\"https://doi.org/10.1109/ICCV.2013.139\">https://doi.org/10.1109/ICCV.2013.139</a>.","short":"T. Kazmar, E. Kvon, A. Stark, C. Lampert, in:, IEEE, 2013."},"ec_funded":1}