{"publication_status":"published","oa":1,"language":[{"iso":"eng"}],"volume":"2016-September","year":"2016","publisher":"BMVA Press","day":"01","publication":"Proceedings of the British Machine Vision Conference 2016","_id":"1102","main_file_link":[{"open_access":"1","url":"http://www.bmva.org/bmvc/2016/papers/paper092/paper092.pdf"}],"conference":{"name":"BMVC: British Machine Vision Conference","end_date":"2016-09-22","start_date":"2016-09-19","location":"York, United Kingdom"},"date_updated":"2021-01-12T06:48:18Z","page":"92.1-92.12","acknowledgement":"This work was funded in parts by the European Research Council\r\nunder the European Union’s Seventh Framework Programme (FP7/2007-2013)/ERC grant\r\nagreement no 308036. We gratefully acknowledge the support of NVIDIA Corporation with\r\nthe donation of the GPUs used for this research.","publist_id":"6273","doi":"10.5244/C.30.92","title":"Improving weakly-supervised object localization by micro-annotation","ec_funded":1,"status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","oa_version":"Published Version","date_created":"2018-12-11T11:50:09Z","date_published":"2016-09-01T00:00:00Z","month":"09","type":"conference","abstract":[{"lang":"eng","text":"Weakly-supervised object localization methods tend to fail for object classes that consistently co-occur with the same background elements, e.g. trains on tracks. We propose a method to overcome these failures by adding a very small amount of model-specific additional annotation. The main idea is to cluster a deep network\\'s mid-level representations and assign object or distractor labels to each cluster. Experiments show substantially improved localization results on the challenging ILSVC2014 dataset for bounding box detection and the PASCAL VOC2012 dataset for semantic segmentation."}],"project":[{"name":"Lifelong Learning of Visual Scene Understanding","call_identifier":"FP7","_id":"2532554C-B435-11E9-9278-68D0E5697425","grant_number":"308036"}],"quality_controlled":"1","scopus_import":1,"department":[{"_id":"ChLa"}],"author":[{"last_name":"Kolesnikov","full_name":"Kolesnikov, Alexander","id":"2D157DB6-F248-11E8-B48F-1D18A9856A87","first_name":"Alexander"},{"orcid":"0000-0001-8622-7887","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","first_name":"Christoph","last_name":"Lampert","full_name":"Lampert, Christoph"}],"citation":{"chicago":"Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised Object Localization by Micro-Annotation.” In <i>Proceedings of the British Machine Vision Conference 2016</i>, 2016–September:92.1-92.12. BMVA Press, 2016. <a href=\"https://doi.org/10.5244/C.30.92\">https://doi.org/10.5244/C.30.92</a>.","ieee":"A. Kolesnikov and C. Lampert, “Improving weakly-supervised object localization by micro-annotation,” in <i>Proceedings of the British Machine Vision Conference 2016</i>, York, United Kingdom, 2016, vol. 2016–September, p. 92.1-92.12.","apa":"Kolesnikov, A., &#38; Lampert, C. (2016). Improving weakly-supervised object localization by micro-annotation. In <i>Proceedings of the British Machine Vision Conference 2016</i> (Vol. 2016–September, p. 92.1-92.12). York, United Kingdom: BMVA Press. <a href=\"https://doi.org/10.5244/C.30.92\">https://doi.org/10.5244/C.30.92</a>","mla":"Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised Object Localization by Micro-Annotation.” <i>Proceedings of the British Machine Vision Conference 2016</i>, vol. 2016–September, BMVA Press, 2016, p. 92.1-92.12, doi:<a href=\"https://doi.org/10.5244/C.30.92\">10.5244/C.30.92</a>.","ista":"Kolesnikov A, Lampert C. 2016. Improving weakly-supervised object localization by micro-annotation. Proceedings of the British Machine Vision Conference 2016. BMVC: British Machine Vision Conference vol. 2016–September, 92.1-92.12.","short":"A. Kolesnikov, C. Lampert, in:, Proceedings of the British Machine Vision Conference 2016, BMVA Press, 2016, p. 92.1-92.12.","ama":"Kolesnikov A, Lampert C. Improving weakly-supervised object localization by micro-annotation. In: <i>Proceedings of the British Machine Vision Conference 2016</i>. Vol 2016-September. BMVA Press; 2016:92.1-92.12. doi:<a href=\"https://doi.org/10.5244/C.30.92\">10.5244/C.30.92</a>"}}