{"month":"03","external_id":{"arxiv":["1905.11137"]},"extern":"1","publication_status":"published","title":"Learning to detect and retrieve objects from unlabeled videos","oa":1,"publisher":"IEEE","date_updated":"2024-12-05T16:04:03Z","oa_version":"Preprint","conference":{"location":"Seoul, Korea (South)","start_date":"2019-10-27","end_date":"2019-10-28","name":"17th IEEE/CVF International Conference on Computer Vision Workshop"},"publication_identifier":{"eissn":["2473-9944"],"isbn":["9781728150246"]},"scopus_import":"1","language":[{"iso":"eng"}],"arxiv":1,"article_number":"9022341","status":"public","doi":"10.1109/iccvw.2019.00567","citation":{"ama":"Amrani E, Ben-Ari R, Hakim T, Bronstein AM. Learning to detect and retrieve objects from unlabeled videos. In: <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>. IEEE; 2020. doi:<a href=\"https://doi.org/10.1109/iccvw.2019.00567\">10.1109/iccvw.2019.00567</a>","apa":"Amrani, E., Ben-Ari, R., Hakim, T., &#38; Bronstein, A. M. (2020). Learning to detect and retrieve objects from unlabeled videos. In <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>. Seoul, Korea (South): IEEE. <a href=\"https://doi.org/10.1109/iccvw.2019.00567\">https://doi.org/10.1109/iccvw.2019.00567</a>","ista":"Amrani E, Ben-Ari R, Hakim T, Bronstein AM. 2020. Learning to detect and retrieve objects from unlabeled videos. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). 17th IEEE/CVF International Conference on Computer Vision Workshop, 9022341.","ieee":"E. Amrani, R. Ben-Ari, T. Hakim, and A. M. Bronstein, “Learning to detect and retrieve objects from unlabeled videos,” in <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>, Seoul, Korea (South), 2020.","short":"E. Amrani, R. Ben-Ari, T. Hakim, A.M. Bronstein, in:, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), IEEE, 2020.","mla":"Amrani, Elad, et al. “Learning to Detect and Retrieve Objects from Unlabeled Videos.” <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>, 9022341, IEEE, 2020, doi:<a href=\"https://doi.org/10.1109/iccvw.2019.00567\">10.1109/iccvw.2019.00567</a>.","chicago":"Amrani, Elad, Rami Ben-Ari, Tal Hakim, and Alex M. Bronstein. “Learning to Detect and Retrieve Objects from Unlabeled Videos.” In <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>. IEEE, 2020. <a href=\"https://doi.org/10.1109/iccvw.2019.00567\">https://doi.org/10.1109/iccvw.2019.00567</a>."},"day":"05","date_created":"2024-10-08T13:07:16Z","year":"2020","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1905.11137"}],"type":"conference","abstract":[{"text":"Learning an object detection or retrieval system requires a large data set with manual annotations. Such data sets are expensive and time consuming to create and therefore difficult to obtain on a large scale. In this work, we propose to exploit the natural correlation in narrations and the visual presence of objects in video, to learn an object detector and retrieval without any manual labeling involved. We pose the problem as weakly supervised learning with noisy labels, and propose a novel object detection paradigm under these constraints. We handle the background rejection by using contrastive samples and confront the high level of label noise with a new clustering score. Our evaluation is based on a set of 11 manually annotated objects in over 5000 frames. We show comparison to a weakly-supervised approach as baseline and provide a strongly labeled upper bound.","lang":"eng"}],"author":[{"full_name":"Amrani, Elad","first_name":"Elad","last_name":"Amrani"},{"first_name":"Rami","last_name":"Ben-Ari","full_name":"Ben-Ari, Rami"},{"full_name":"Hakim, Tal","last_name":"Hakim","first_name":"Tal"},{"last_name":"Bronstein","first_name":"Alexander","full_name":"Bronstein, Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","orcid":"0000-0001-9699-8730"}],"article_processing_charge":"No","date_published":"2020-03-05T00:00:00Z","publication":"2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","quality_controlled":"1","_id":"18255"}