{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:04:58Z","timestamp":1740139498220,"version":"3.37.3"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT (MSIT), South Korea, under the Information Technology Research Center","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014188","name":"Institute for Information and Communications Technology Planning and Evaluation","doi-asserted-by":"publisher","award":["IITP-2021-2020-0-01461"],"award-info":[{"award-number":["IITP-2021-2020-0-01461"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"Super Computer Development Leading Program of the National Research Foundation of Korea (NRF) by the Korean Government through the Ministry of Science and ICT","doi-asserted-by":"publisher","award":["2020M3H6A1085498"],"award-info":[{"award-number":["2020M3H6A1085498"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. I"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1109\/tcsi.2022.3174531","type":"journal-article","created":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T19:45:43Z","timestamp":1652816743000},"page":"3308-3319","source":"Crossref","is-referenced-by-count":1,"title":["CHAMP: Channel Merging Process for Cost-Efficient Highly-Pruned CNN Acceleration"],"prefix":"10.1109","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3247-3366","authenticated-orcid":false,"given":"Hyeokjun","family":"Kwon","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1899-6259","authenticated-orcid":false,"given":"Younghoon","family":"Byun","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3015-1806","authenticated-orcid":false,"given":"Seokhyeong","family":"Kang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2467-8276","authenticated-orcid":false,"given":"Youngjoo","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1038\/nature14539"},{"key":"ref2","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Krizhevsky"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref4","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Ren"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/CVPR.2016.91"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/TPAMI.2021.3059968"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1145\/3079856.3080246"},{"key":"ref8","article-title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks","author":"Frankle","year":"2018","journal-title":"arXiv:1803.03635"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.23919\/DATE51398.2021.9474030"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/ICASSP.2017.7952679"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/TCSI.2021.3064189"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/TCSI.2021.3131581"},{"key":"ref13","first-page":"2849","article-title":"Fixed point quantization of deep convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Lin"},{"key":"ref14","article-title":"Incremental network quantization: Towards lossless CNNs with low-precision weights","author":"Zhou","year":"2017","journal-title":"arXiv:1702.03044"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/CVPR.2019.00748"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/ISCA.2018.00063"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/ISPA\/IUCC.2017.00030"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/TCSI.2021.3073177"},{"key":"ref19","article-title":"Pruning convolutional neural networks for resource efficient inference","author":"Molchanov","year":"2016","journal-title":"arXiv:1611.06440"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/JETCAS.2019.2952137"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/SC41405.2020.00021"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1145\/3437801.3441592"},{"key":"ref23","first-page":"1","article-title":"cuSPARSE library","volume-title":"Proc. GPU Technol. Conf.","author":"Naumov"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1145\/3297858.3304041"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.23919\/DATE.2019.8715280"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/AICAS.2019.8771492"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/MICRO.2016.7783723"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1145\/3140659.3080254"},{"key":"ref29","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"Han","year":"2015","journal-title":"arXiv:1510.00149"},{"key":"ref30","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1109\/CVPR.2009.5206848"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1109\/MICRO.2014.58"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1109\/TNNLS.2021.3084827"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/CVPR.2016.90"},{"doi-asserted-by":"publisher","key":"ref35","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref36","article-title":"Pruning filters for efficient ConvNets","author":"Li","year":"2016","journal-title":"arXiv:1608.08710"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1109\/CVPR.2017.643"},{"key":"ref38","first-page":"3965","article-title":"CoAtNet: Marrying convolution and attention for all data sizes","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Dai"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1109\/CVPR46437.2021.01139"},{"key":"ref40","article-title":"Rethinking the value of network pruning","author":"Liu","year":"2018","journal-title":"arXiv:1810.05270"}],"container-title":["IEEE Transactions on Circuits and Systems I: Regular Papers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8919\/9841618\/09776611.pdf?arnumber=9776611","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T23:07:19Z","timestamp":1705964839000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9776611\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":40,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tcsi.2022.3174531","relation":{},"ISSN":["1549-8328","1558-0806"],"issn-type":[{"type":"print","value":"1549-8328"},{"type":"electronic","value":"1558-0806"}],"subject":[],"published":{"date-parts":[[2022,8]]}}}