{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T15:34:57Z","timestamp":1773329697439,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council","doi-asserted-by":"publisher","award":["RGPIN-2016-04590"],"award-info":[{"award-number":["RGPIN-2016-04590"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003816","name":"Huawei","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003816","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2021.3060875","type":"journal-article","created":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T20:55:01Z","timestamp":1614372901000},"page":"3348-3361","source":"Crossref","is-referenced-by-count":26,"title":["Pareto-Optimal Bit Allocation for Collaborative Intelligence"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8772-5770","authenticated-orcid":false,"given":"Saeed Ranjbar","family":"Alvar","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3154-5743","authenticated-orcid":false,"given":"Ivan V.","family":"Bajic","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1002\/0471787779"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref33","article-title":"Branched multi-task networks: Deciding what layers to share","author":"vandenhende","year":"2019","journal-title":"arXiv 1904 02920"},{"key":"ref32","first-page":"525","article-title":"Multi-task learning as multi-objective optimization","author":"sener","year":"2018","journal-title":"Proc Neural Inf Process Syst (NeurIPS)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2851999"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803498"},{"key":"ref37","author":"cover","year":"1999","journal-title":"Elements of Information Theory"},{"key":"ref36","author":"neter","year":"1988","journal-title":"Applied Statistics"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0067700"},{"key":"ref34","article-title":"Segmentation and depth estimation of urban road using monocular camera and convolutional neural networks","author":"djikic","year":"2018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2818018"},{"key":"ref40","volume":"16","author":"deb","year":"2001","journal-title":"Multi-Objective Optimization Using Evolutionary Algorithms"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2975718"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2917283"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5563-6"},{"key":"ref15","first-page":"4342","article-title":"Bit allocation for multi-task collaborative intelligence","author":"alvar","year":"2020","journal-title":"Proc ICASSP-IEEE Int Conf Acoust Speech Signal Process (ICASSP)"},{"key":"ref16","author":"chong","year":"2013","journal-title":"An Introduction to Optimization"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451100"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2478707"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops49005.2020.9145068"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2947893"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ISQED.2019.8697647"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3194554.3194565"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2941660"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053011"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2018.8639121"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3093337.3037698"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2940679"},{"key":"ref1","first-page":"288","article-title":"AI benchmark: Running deep neural networks on Android smartphones","author":"ignatov","year":"2018","journal-title":"Proc ECCV Workshops"},{"key":"ref46","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 02767"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICME46284.2020.9102797"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MMSP.2018.8547134"},{"key":"ref42","year":"2021","journal-title":"Torchvision Models"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350849"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/79.952804"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803110"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2019.8824955"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref25","year":"2020"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09364873.pdf?arnumber=9364873","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:15Z","timestamp":1652194215000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9364873\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/tip.2021.3060875","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}