{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T15:09:42Z","timestamp":1761664182428,"version":"3.28.0"},"reference-count":9,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,21]],"date-time":"2020-10-21T00:00:00Z","timestamp":1603238400000},"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":[[2020,10,21]]},"DOI":"10.1109\/ictc49870.2020.9289404","type":"proceedings-article","created":{"date-parts":[[2020,12,21]],"date-time":"2020-12-21T17:58:16Z","timestamp":1608573496000},"page":"1219-1221","source":"Crossref","is-referenced-by-count":4,"title":["Where to Cut and Paste: Data Regularization with Selective Features"],"prefix":"10.1109","author":[{"given":"Jiyeon","family":"Kim","sequence":"first","affiliation":[]},{"given":"Ik-Hee","family":"Shin","sequence":"additional","affiliation":[]},{"given":"Jong-Ryul","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Yong-Ju","family":"Lee","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"article-title":"mixup: Beyond empirical risk minimization","year":"2017","author":"zhang","key":"ref4"},{"article-title":"Improved regularization of convolutional neural networks with cutout","year":"2017","author":"devries","key":"ref3"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.1109\/ICASSP40776.2020.9053994","article-title":"Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification","author":"walawalkar","year":"2020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.4218\/etrij.2018-0152"},{"article-title":"Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization","year":"2019","author":"selvaraju","key":"ref7"},{"key":"ref2","first-page":"10750","article-title":"Dropblock: A regularization method for convolutional networks","author":"ghiasi","year":"2018","journal-title":"Advances in neural information processing systems"},{"article-title":"Automatic dif- ferentiation in pytorch","year":"2017","author":"paszke","key":"ref9"},{"key":"ref1","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","start":{"date-parts":[[2020,10,21]]},"location":"Jeju, Korea (South)","end":{"date-parts":[[2020,10,23]]}},"container-title":["2020 International Conference on Information and Communication Technology Convergence (ICTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9289075\/9289076\/09289404.pdf?arnumber=9289404","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T20:12:20Z","timestamp":1656360740000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9289404\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,21]]},"references-count":9,"URL":"https:\/\/doi.org\/10.1109\/ictc49870.2020.9289404","relation":{},"subject":[],"published":{"date-parts":[[2020,10,21]]}}}