{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T08:27:40Z","timestamp":1759134460339,"version":"3.37.3"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1611461","61425025"],"award-info":[{"award-number":["U1611461","61425025"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DE-1901014738"],"award-info":[{"award-number":["DE-1901014738"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hong Kong RGC Early Career Scheme","award":["9048122"],"award-info":[{"award-number":["9048122"]}]},{"DOI":"10.13039\/100007567","name":"City University of Hong Kong","doi-asserted-by":"publisher","award":["21211018"],"award-info":[{"award-number":["21211018"]}],"id":[{"id":"10.13039\/100007567","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1109\/tmm.2020.2966885","type":"journal-article","created":{"date-parts":[[2020,1,15]],"date-time":"2020-01-15T21:18:53Z","timestamp":1579123133000},"page":"3002-3013","source":"Crossref","is-referenced-by-count":10,"title":["Towards Efficient Front-End Visual Sensing for Digital Retina: A Model-Centric Paradigm"],"prefix":"10.1109","volume":"22","author":[{"given":"Yihang","family":"Lou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4491-2023","authenticated-orcid":false,"given":"Ling-Yu","family":"Duan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2514-6906","authenticated-orcid":false,"given":"Ziqian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9640-6472","authenticated-orcid":false,"given":"Tongliang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3583-959X","authenticated-orcid":false,"given":"Shiqi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"han","year":"2015","journal-title":"Proc Intl Conf on Learning Representations"},{"key":"ref38","first-page":"2285","article-title":"Compressing neural networks with the hashing trick","author":"chen","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00291"},{"key":"ref32","first-page":"5363","article-title":"Deep $ k$-means: Re-training and parameter sharing with harder cluster assignments for compressing deep convolutions","volume":"80","author":"wu","year":"2018","journal-title":"Proc 35th Int Conf Mach Learn"},{"key":"ref31","first-page":"2148","article-title":"Predicting parameters in deep learning","author":"denil","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"},{"key":"ref35","first-page":"1","article-title":"Speeding up convolutional neural networks with low rank expansions","author":"jaderberg","year":"0","journal-title":"Proc Brit Mach Vision Conf"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298809"},{"key":"ref28","first-page":"3287","article-title":"Modal consistency based pre-trained multi-model reuse","author":"xiang","year":"0","journal-title":"Proc 26th Int Joint Conf Artif Intell"},{"key":"ref27","first-page":"6840","article-title":"Heterogeneous model reuse via optimizing multiparty multiclass margin","volume":"97","author":"wu","year":"2019","journal-title":"Proceedings 36th Int Conf Mach Learn"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-3019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-31958-6"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn1497"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1037\/h0074898"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/9780262028707.001.0001","author":"sterling","year":"2015","journal-title":"Principles of Neural Design"},{"journal-title":"How People Learn Brain Mind Experience and School Expanded Edition","year":"2000","author":"council","key":"ref21"},{"key":"ref24","article-title":"Domain-adversarial neural networks","author":"ajakan","year":"2014","journal-title":"arXiv 1412 4446"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00012"},{"key":"ref26","first-page":"2831","article-title":"Deep learning for fixed model reuse","author":"yang","year":"0","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13560-1_76"},{"key":"ref50","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume":"37","author":"long","year":"0","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref51","article-title":"AlignedReID: Surpassing human-level performance in person re-identification","author":"zhang","year":"2017","journal-title":"arXiv 1711 08184"},{"key":"ref52","first-page":"4321","article-title":"Bag of tricks and a strong baseline for deep person re-identification","author":"luo","year":"0","journal-title":"Proc IEEE Conf Comput Vision Pattern Recognit Workshops"},{"key":"ref10","article-title":"In defense of the triplet loss for person re-identification","author":"hermans","year":"2017","journal-title":"arXiv 1703 07737"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00335"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2019.1800323"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.238"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2902112"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2796240"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.458"},{"key":"ref17","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2018.2873844"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2018.2873564"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1360\/N112018-00025"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2500034"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2009.02.003"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/DCC.2017.31"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2018.2873844"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","first-page":"480","article-title":"Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline)","author":"sun","year":"2018","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00016"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240654"},{"article-title":"Method for network coding packets in content-centric networking based networks","year":"2015","author":"westphal","key":"ref41"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/18.720541"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972788.74"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9238041\/08960464.pdf?arnumber=8960464","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T05:04:55Z","timestamp":1722315895000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8960464\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11]]},"references-count":52,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tmm.2020.2966885","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"type":"print","value":"1520-9210"},{"type":"electronic","value":"1941-0077"}],"subject":[],"published":{"date-parts":[[2020,11]]}}}