{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:06:34Z","timestamp":1772906794706,"version":"3.50.1"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003725","name":"Field-oriented Technology Development Project for Customs Administration through National Research Foundation of Korea funded by the Ministry of Science & ICT and Korea Customs Service","doi-asserted-by":"publisher","award":["NRF-2021M3I1A1097906"],"award-info":[{"award-number":["NRF-2021M3I1A1097906"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/tcsvt.2024.3403166","type":"journal-article","created":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T17:35:00Z","timestamp":1716226500000},"page":"9822-9835","source":"Crossref","is-referenced-by-count":5,"title":["Enhancing Robustness of Multi-Object Trackers With Temporal Feature Mix"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3015-8725","authenticated-orcid":false,"given":"Kyujin","family":"Shim","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"}]},{"given":"Junyoung","family":"Byun","sequence":"additional","affiliation":[{"name":"Samsung Advanced Institute of Technology (SAIT), Suwon, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5101-9751","authenticated-orcid":false,"given":"Kangwook","family":"Ko","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0639-8806","authenticated-orcid":false,"given":"Jubi","family":"Hwang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9323-8488","authenticated-orcid":false,"given":"Changick","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00632"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903121"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01314-1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00911"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.292"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00549"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00245"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00900"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3128047"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3335338"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP49359.2023.10222679"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3224699"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2018.8486597"},{"key":"ref14","first-page":"726","article-title":"Do different tracking tasks require different appearance models?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref15","first-page":"13695","article-title":"Self-supervised multi-object tracking with cross-input consistency","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bastani"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00526"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2882192"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3049397"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3005662"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3059250"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3240881"},{"key":"ref22","article-title":"mixup: Beyond empirical risk minimization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhang"},{"key":"ref23","first-page":"6438","article-title":"Manifold mixup: Better representations by interpolating hidden states","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Verma"},{"key":"ref24","article-title":"Noisy feature mixup","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Lim"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref26","first-page":"5275","article-title":"Puzzle mix: Exploiting saliency and local statistics for optimal mixup","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kim"},{"key":"ref27","article-title":"Co-mixup: Saliency guided joint mixup with supermodular diversity","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kim"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01858"},{"key":"ref29","first-page":"552","article-title":"Better mixing via deep representations","volume-title":"Proc. Int. conf. Mach. Learn.","author":"Bengio"},{"key":"ref30","article-title":"MOT16: A benchmark for multi-object tracking","author":"Milan","year":"2016","journal-title":"arXiv:1603.0083"},{"key":"ref31","article-title":"MOT20: A benchmark for multi object tracking in crowded scenes","author":"Dendorfer","year":"2020","journal-title":"arXiv:2003.09003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02032"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533003"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296962"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20047-2_1"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00934"},{"key":"ref37","article-title":"BoT-SORT: Robust associations multi-pedestrian tracking","author":"Aharon","year":"2022","journal-title":"arXiv:2206.14651"},{"key":"ref38","doi-asserted-by":"crossref","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ren"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref41","article-title":"YOLOX: Exceeding YOLO series in 2021","author":"Ge","year":"2021","journal-title":"arXiv:2107.08430"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.403"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350853"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00409"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929520"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1137\/0105003"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00943"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01410"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00247"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2975842"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"key":"ref52","article-title":"Benchmarking neural network robustness to common corruptions and perturbations","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hendrycks"},{"key":"ref53","article-title":"AugMix: A simple data processing method to improve robustness and uncertainty","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hendrycks"},{"key":"ref54","first-page":"237","article-title":"AugMax: Adversarial composition of random augmentations for robust training","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2959815"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3103941"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3261333"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3276442"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3081999"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01513-4"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01375-2"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-69568-4_1"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref65","article-title":"CrowdHuman: A benchmark for detecting human in a crowd","author":"Shao","year":"2018","journal-title":"arXiv:1805.00123"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.474"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587581"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3613460"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/10739869\/10535304.pdf?arnumber=10535304","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T20:12:02Z","timestamp":1736453522000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10535304\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":69,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2024.3403166","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}