{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,9]],"date-time":"2026-08-09T21:15:43Z","timestamp":1786310143208,"version":"3.56.0"},"reference-count":20,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"U.S. NSF","award":["1626236"],"award-info":[{"award-number":["1626236"]}]},{"DOI":"10.13039\/100014600","name":"MathWorks","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100014600","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. II"],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/tcsii.2018.2865896","type":"journal-article","created":{"date-parts":[[2018,8,17]],"date-time":"2018-08-17T18:38:19Z","timestamp":1534531099000},"page":"1415-1419","source":"Crossref","is-referenced-by-count":183,"title":["A CNN Accelerator on FPGA Using Depthwise Separable Convolution"],"prefix":"10.1109","volume":"65","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2324-9779","authenticated-orcid":false,"given":"Lin","family":"Bai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiming","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0584-3448","authenticated-orcid":false,"given":"Xinming","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"NullHop: A flexible convolutional neural network accelerator based on sparse representations of feature maps","author":"aimar","year":"2018","journal-title":"arXiv 1706 01406v2 [cs]"},{"key":"ref11","first-page":"16","article-title":"Redundancy-reduced mobilenet acceleration on reconfigurable logic for ImageNet classification","author":"su","year":"2018","journal-title":"Proc Appl Reconfig Comput Archit Tools Appl"},{"key":"ref12","article-title":"Automatic optimising CNN with depthwise separable convolution on FPGA: (Abstact only)","author":"zhao","year":"2018","journal-title":"Proc ACM\/SIGDA Int Symp Field Program Gate Arrays (FPGA)"},{"key":"ref13","article-title":"Rigid-motion scattering for texture classification","author":"sifre","year":"2014","journal-title":"arXiv 1403 1687 [cs]"},{"key":"ref14","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref15","article-title":"MobileNetV2: Inverted residuals and linear bottlenecks","author":"sandler","year":"2018","journal-title":"arXiv 1801 04381v3 [cs]"},{"key":"ref16","article-title":"Training deep neural networks with low precision multiplications","author":"courbariaux","year":"2015","journal-title":"arXiv 1412 7024v5 [cs]"},{"key":"ref17","first-page":"1737","article-title":"Deep learning with limited numerical precision","author":"gupta","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref18","article-title":"Xception: Deep learning with depthwise separable convolutions","author":"chollet","year":"2017","journal-title":"arXiv 1610 02357v3 [cs]"},{"key":"ref19","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167v3 [cs]"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062244"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2749469.2750389"},{"key":"ref6","first-page":"1","article-title":"A high performance FPGA-based accelerator for large-scale convolutional neural networks","author":"li","year":"2016","journal-title":"Proc 16th Int Conf Field Program Logic Appl (FPL)"},{"key":"ref5","first-page":"291","article-title":"fpgaConvNet: Automated mapping of convolutional neural networks on FPGAs","author":"venieris","year":"2017","journal-title":"Proc ACM\/SIGDA Int Symp Field Program Gate Arrays (FPGA)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2847263.2847265"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021736"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2014.58"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2616357"},{"key":"ref9","article-title":"Comprehensive evaluation of openCL-based convolutional neural network accelerators in Xilinx and Altera FPGAs","author":"tapiador","year":"2016","journal-title":"arXiv 1609 09296 [cs]"},{"key":"ref20","first-page":"1","article-title":"Scalable and modularized RTL compilation of convolutional neural networks onto FPGA","author":"ma","year":"2016","journal-title":"Proc 16th Int Conf Field Program Logic Appl (FPL)"}],"container-title":["IEEE Transactions on Circuits and Systems II: Express Briefs"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielaam\/8920\/8470998\/8438987-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8920\/8470998\/08438987.pdf?arnumber=8438987","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:51:42Z","timestamp":1649443902000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8438987\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":20,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tcsii.2018.2865896","relation":{},"ISSN":["1549-7747","1558-3791"],"issn-type":[{"value":"1549-7747","type":"print"},{"value":"1558-3791","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10]]}}}