{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:16:53Z","timestamp":1777655813645,"version":"3.51.4"},"reference-count":54,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,15]]},"DOI":"10.1109\/bigdata59044.2023.10386534","type":"proceedings-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T18:28:47Z","timestamp":1705948127000},"page":"5311-5320","source":"Crossref","is-referenced-by-count":2,"title":["Hierarchical Uncertainty Aggregation and Emphasis Loss for Active Learning in Object Detection"],"prefix":"10.1109","author":[{"given":"Tai","family":"Nguyen","sequence":"first","affiliation":[{"name":"Samsung SDS R&#x0026;D Center Vietnam,AI Research Laboratory,Hanoi,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khoa","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Samsung SDS R&#x0026;D Center Vietnam,AI Research Laboratory,Hanoi,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thanh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Samsung SDS R&#x0026;D Center Vietnam,AI Research Laboratory,Hanoi,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tri","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Samsung SDS R&#x0026;D Center Vietnam,AI Research Laboratory,Hanoi,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Samsung SDS R&#x0026;D Center Vietnam,AI Research Laboratory,Hanoi,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karrman","family":"Kim","sequence":"additional","affiliation":[{"name":"Samsung SDS R&#x0026;D Center Vietnam,AI Research Laboratory,Hanoi,Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2016.2577031"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00959"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00315"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01408"},{"key":"ref8","article-title":"Consistency-based semi-supervised learning for object detection","volume":"32","author":"Jeong","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00234"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298724"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00848"},{"key":"ref12","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"Proceedings of the 37th International Conference on Machine Learning","volume":"119","author":"Chen"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.00975"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00828"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00173"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_12"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref18","volume-title":"Not all labels are equal: Rationalizing the labeling costs for training object detection","author":"Elezi","year":"2021"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00529"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01010"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/cvprw56347.2022.00440"},{"key":"ref22","article-title":"Active learning for object detection with evidential deep learning and hierarchical uncertainty aggregation","volume-title":"The Eleventh International Conference on Learning Representations","author":"Park"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00607"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20876-9_32"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/223904.223930"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IV47402.2020.9304793"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00976"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref30","article-title":"Large-scale visual active learning with deep probabilistic ensembles","volume":"abs\/1811.03575","author":"Chitta","year":"2018","journal-title":"ArXiv"},{"key":"ref31","volume-title":"Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning","author":"Kirsch","year":"2019"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814236"},{"key":"ref33","first-page":"1183","article-title":"Deep bayesian active learning with image data","volume-title":"Proceedings of the 34th International Conference on Machine Learning-Volume 70","author":"Gal"},{"key":"ref34","volume-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","author":"Gal","year":"2016"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00377"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_9"},{"key":"ref37","volume-title":"What uncertainties do we need in bayesian deep learning for computer vision?","author":"Kendall","year":"2017"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569637"},{"key":"ref39","volume-title":"A comprehensive guide to bayesian convolutional neural network with variational inference","author":"Shridhar","year":"2019"},{"key":"ref40","volume-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","author":"Lakshminarayanan","year":"2017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00300"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917494"},{"key":"ref43","volume-title":"Localization uncertainty estimation for anchor-free object detection","author":"Lee","year":"2022"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3130976"},{"key":"ref45","volume-title":"Estimating and evaluating regression predictive uncertainty in deep object detectors","author":"Harakeh","year":"2021"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1967.1089532"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref48","article-title":"A bounded divergence measure based on the bhattacharyya coefficient","author":"Jolad","year":"2012"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00361"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2019.00075"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20876-9_32"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.90"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2017.106"}],"event":{"name":"2023 IEEE International Conference on Big Data (BigData)","location":"Sorrento, Italy","start":{"date-parts":[[2023,12,15]]},"end":{"date-parts":[[2023,12,18]]}},"container-title":["2023 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385234\/10386078\/10386534.pdf?arnumber=10386534","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T01:57:02Z","timestamp":1706752622000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10386534\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/bigdata59044.2023.10386534","relation":{},"subject":[],"published":{"date-parts":[[2023,12,15]]}}}