{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T10:48:21Z","timestamp":1725792501977},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:00:00Z","timestamp":1634688000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:00:00Z","timestamp":1634688000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:00:00Z","timestamp":1634688000000},"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":[[2021,10,20]]},"DOI":"10.1109\/ictc52510.2021.9621194","type":"proceedings-article","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T20:49:57Z","timestamp":1638910197000},"page":"312-314","source":"Crossref","is-referenced-by-count":4,"title":["Image Data Augmentation for SAR Automatic Target Recognition Using TripleGAN"],"prefix":"10.1109","author":[{"given":"Jieon","family":"Hwang","sequence":"first","affiliation":[]},{"given":"Yoan","family":"Shin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc NIPS 2014"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2007.357120"},{"key":"ref10","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc ICLR 2015"},{"key":"ref6","article-title":"Triple generative adversarial networks","author":"li","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/EEI48997.2019.00111"},{"key":"ref8","article-title":"Weight normalization: A simple reparameterization to accelerate training of deep neural networks","author":"salimans","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref7","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"tarvainen","year":"2017","journal-title":"Proc NIPS 2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11045-016-0396-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1117\/12.242059"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2009.2035497"}],"event":{"name":"2021 International Conference on Information and Communication Technology Convergence (ICTC)","start":{"date-parts":[[2021,10,20]]},"location":"Jeju Island, Korea, Republic of","end":{"date-parts":[[2021,10,22]]}},"container-title":["2021 International Conference on Information and Communication Technology Convergence (ICTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9620727\/9620211\/09621194.pdf?arnumber=9621194","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:53:40Z","timestamp":1652201620000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9621194\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,20]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/ictc52510.2021.9621194","relation":{},"subject":[],"published":{"date-parts":[[2021,10,20]]}}}