{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:17:37Z","timestamp":1740100657929,"version":"3.37.3"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9746043","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"2839-2843","source":"Crossref","is-referenced-by-count":5,"title":["Collaborative Object Detectors Adaptive to Bandwidth and Computation"],"prefix":"10.1109","author":[{"given":"Juliano S","family":"Assine","sequence":"first","affiliation":[{"name":"Unicamp,Recod.ai Lab, School of Electrical and Computer Engineering,Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.C.S.","family":"Santos Filho","sequence":"additional","affiliation":[{"name":"Unicamp,WissTek Lab, School of Electrical and Computer Engineering,Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eduardo","family":"Valle","sequence":"additional","affiliation":[{"name":"Unicamp,Recod.ai Lab, School of Electrical and Computer Engineering,Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"End-to-end optimized image compression","year":"2016","author":"ball\u00e9","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2223013"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2019.8824955"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2307636.2307658"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC48557.2020.9154306"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000373"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412388"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053011"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICME46284.2020.9102797"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2014.6757323"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3410338.3412338"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2970550"},{"article-title":"Split computing and early exiting for deep learning applications: Survey and research challenges","year":"2021","author":"matsubara","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451100"},{"article-title":"Compressing representations for embedded deep learning","year":"2019","author":"assine","key":"ref7"},{"key":"ref2","first-page":"8493","article-title":"Collaborative intelligence: Challenges and opportunities","author":"baji?","year":"2021","journal-title":"ICASSP IEEE Int Conf on Acoustics Speech and Signal Processing (ICASSP)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISQED.2019.8697647"},{"article-title":"Embedded systems market size is growing at 5.6% cagr to reach 95400 million usd in 2024","year":"2019","author":"imarc","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350849"},{"key":"ref22","article-title":"Anytime sampling for autoregressive models via ordered autoencoding","author":"xu","year":"2021","journal-title":"Int Conf on Learning Representations"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00496"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00189"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"ref26","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"European Conf on Computer Vision"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_18"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2022,5,23]]},"location":"Singapore, Singapore","end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09746043.pdf?arnumber=9746043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T20:11:58Z","timestamp":1661199118000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9746043\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9746043","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}