{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T14:57:57Z","timestamp":1773413877533,"version":"3.50.1"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tpami.2022.3198965","type":"journal-article","created":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T19:57:28Z","timestamp":1660593448000},"page":"1-15","source":"Crossref","is-referenced-by-count":13,"title":["Debiased Scene Graph Generation for Dual Imbalance Learning"],"prefix":"10.1109","author":[{"given":"Hao","family":"Zhou","sequence":"first","affiliation":[{"name":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, China"}]},{"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8171-3971","authenticated-orcid":false,"given":"Tingjin","family":"Luo","sequence":"additional","affiliation":[{"name":"College of Science, National University of Defense Technology, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1159-5682","authenticated-orcid":false,"given":"Yazhou","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"}]},{"given":"Jun","family":"Lei","sequence":"additional","affiliation":[{"name":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298990"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00377"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00632"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01077"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01094"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00998"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3042192"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00686"},{"key":"ref9","first-page":"1","article-title":"Decoupling representation and classifier for long-tailed recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kang"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00974"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00611"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413722"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.330"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.352"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2981890"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2015.00420"},{"key":"ref17","volume-title":"The Book of Why: The New Science of Cause and Effect","author":"Pearl","year":"2018"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01050"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_41"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_21"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58592-1_38"},{"key":"ref22","first-page":"1","article-title":"Tackling the unannotated: Scene graph generation with bias-reduced models","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Wang"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992222"},{"key":"ref24","first-page":"19705","article-title":"Counterfactual prediction for bundle treatment","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Zou"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00380"},{"key":"ref26","first-page":"1","article-title":"Graph density-aware losses for novel compositions in scene graph generation","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Knyazev"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01234"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/176"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_12"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref33","first-page":"1567","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Cao"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00264"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00585"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.580"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.578"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00763"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01096"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3310\/hta19930"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1093\/ije\/dyt127"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1093\/pan\/mpv007"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.14"},{"key":"ref44","first-page":"1513","article-title":"Long-tailed classification by keeping the good and removing the bad momentum causal effect","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Tang"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01251"},{"key":"ref46","first-page":"91","article-title":"Faster r-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","volume":"28","author":"Ren"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045336"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1150"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00678"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1957.tb01515.x"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01168"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0981-7"},{"key":"ref55","first-page":"2171","article-title":"Pixels to graphs by associative embedding","volume-title":"Proc. Adv. Neural Informat. Process. Syst.","author":"Newell"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1971.223290"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.331"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/4359286\/09858006.pdf?arnumber=9858006","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T12:14:26Z","timestamp":1706789666000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9858006\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/tpami.2022.3198965","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}