{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T18:16:52Z","timestamp":1777486612430,"version":"3.51.4"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T00:00:00Z","timestamp":1729036800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T00:00:00Z","timestamp":1729036800000},"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":[[2024,10,16]]},"DOI":"10.1109\/ictc62082.2024.10827311","type":"proceedings-article","created":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T19:40:10Z","timestamp":1736883610000},"page":"2027-2032","source":"Crossref","is-referenced-by-count":1,"title":["Data Augmentation Techniques Using Text-to-Image Diffusion Models for Enhanced Data Diversity"],"prefix":"10.1109","author":[{"given":"Jeongmin","family":"Shin","sequence":"first","affiliation":[{"name":"Dongguk University,Department of Computer Science &#x0026; Artificial Intelligence,Seoul,Korea"}]},{"given":"Hyeryung","family":"Jang","sequence":"additional","affiliation":[{"name":"Dongguk University,Department of Computer Science &#x0026; Artificial Intelligence,Seoul,Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.48550\/arxiv.1710.09412"},{"key":"ref2","article-title":"Improved regularization of convolutional neural networks with cutout","author":"DeVries","year":"2017","journal-title":"arXiv preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01630"},{"key":"ref4","article-title":"Effective data augmentation with diffusion models","author":"Trabucco","year":"2023","journal-title":"arXiv preprint"},{"key":"ref5","article-title":"Image retrieval outperforms diffusion models on data augmentation","author":"Burg","year":"2023","journal-title":"arXiv preprint"},{"key":"ref6","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref8","first-page":"25 278","article-title":"Laion-5b: An open large-scale dataset for training next generation image-text models","volume":"35","author":"Schuhmann","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02155"},{"key":"ref10","article-title":"Detec-tor guidance for multi-object text-to-image generation","author":"Liu","year":"2023","journal-title":"arXiv preprint"},{"key":"ref11","article-title":"Auto-encoding variational bayes","author":"Kingma","year":"2013","journal-title":"arXiv preprint"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref13","article-title":"Tutorial on variational autoencoders","author":"Doersch","year":"2016","journal-title":"arXiv preprint"},{"key":"ref14","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015","journal-title":"arXiv preprint"},{"key":"ref15","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"International conference on machine learning","author":"Sohl-Dickstein","year":"2015"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248092"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.79"}],"event":{"name":"2024 15th International Conference on Information and Communication Technology Convergence (ICTC)","location":"Jeju Island, Korea, Republic of","start":{"date-parts":[[2024,10,16]]},"end":{"date-parts":[[2024,10,18]]}},"container-title":["2024 15th International Conference on Information and Communication Technology Convergence (ICTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10826571\/10826594\/10827311.pdf?arnumber=10827311","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T07:04:43Z","timestamp":1736924683000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10827311\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,16]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/ictc62082.2024.10827311","relation":{},"subject":[],"published":{"date-parts":[[2024,10,16]]}}}