{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T10:47:56Z","timestamp":1752230876254},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1109\/iscas51556.2021.9401375","type":"proceedings-article","created":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T21:33:36Z","timestamp":1619559216000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["DC-AC: Deep Correlation-Based Adaptive Compression of Feature Map Planes in Convolutional Neural Networks"],"prefix":"10.1109","author":[{"given":"Seung-Hwan","family":"Bae","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyuk-Jae","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyun","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"10","article-title":"Computing&#x2019;s energy problem (and what we can do about it)","author":"horowitz","year":"2014","journal-title":"Proc IEEE Int Solid-State Circuits Conf Dig Tech Papers (ISSCC)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00725"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00448"},{"key":"ref13","first-page":"7948","article-title":"Post training 4-bit quantization of convolutional networks for rapid-deployment","author":"banner","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","year":"2015","author":"han","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3054879"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053011"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2017.015073"},{"article-title":"A. Feature Map Transform Coding for Energy-Efficient CNN Inference","year":"2019","author":"chmiel","key":"ref19"},{"key":"ref28","first-page":"7920","article-title":"Towards effective lowbitwidth convolutional neural networks","author":"zhuang","year":"2018","journal-title":"Proc IEEE Conf Comput Vision Pattern Recognit (CVPR)"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"simonyan","key":"ref4"},{"article-title":"Quantizing deep convolutional networks for efficient inference: A whitepaper","year":"2018","author":"krishnamoorthi","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/AICAS48895.2020.9073907"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-46493-0_38","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016"},{"key":"ref29","article-title":"Learning Multiple Layers of Features from Tiny Images","author":"krizhevsky","year":"2009","journal-title":"Univ of Toronto Technical Report"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2018.8351021"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2019.2905242"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00059"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc 26th Annu Conf Neural Inf Process Syst (NIPS)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.23919\/DATE48585.2020.9116530"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/0020-0190(78)90024-8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2525861"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2014.2369520"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013854"},{"article-title":"PACT: Parameterized Clipping Activation for Quantized Neural Networks","year":"2018","author":"choi","key":"ref25"}],"event":{"name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","start":{"date-parts":[[2021,5,22]]},"location":"Daegu, Korea","end":{"date-parts":[[2021,5,28]]}},"container-title":["2021 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9401028\/9401051\/09401375.pdf?arnumber=9401375","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:44:05Z","timestamp":1652197445000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9401375\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/iscas51556.2021.9401375","relation":{},"subject":[],"published":{"date-parts":[[2021,5]]}}}