{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T08:24:37Z","timestamp":1769847877332,"version":"3.49.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T00:00:00Z","timestamp":1696723200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T00:00:00Z","timestamp":1696723200000},"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":[[2023,10,8]]},"DOI":"10.1109\/icip49359.2023.10223107","type":"proceedings-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T13:58:31Z","timestamp":1694440711000},"page":"341-345","source":"Crossref","is-referenced-by-count":1,"title":["KD-Fixmatch: Knowledge Distillation Siamese Neural Networks"],"prefix":"10.1109","author":[{"given":"Chien-Chih","family":"Wang","sequence":"first","affiliation":[{"name":"Amazon Inc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoyuan","family":"Xu","sequence":"additional","affiliation":[{"name":"Amazon Inc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinmiao","family":"Fu","sequence":"additional","affiliation":[{"name":"Amazon Inc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Liu","sequence":"additional","affiliation":[{"name":"Amazon Inc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bryan","family":"Wang","sequence":"additional","affiliation":[{"name":"Amazon Inc"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2223460"},{"key":"ref12","article-title":"A survey on deep semi-supervised learning","author":"yang","year":"2022","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_29"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1029\/JC090iC05p08995"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10894"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00359"},{"key":"ref11","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","author":"xie","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref22","author":"krizhevsky","year":"2009","journal-title":"Learning multiple layers of features from tiny images"},{"key":"ref10","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume":"30","author":"tarvainen","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref21","author":"netzer","year":"2011","journal-title":"Reading digits in natural images with unsupervised feature learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3115\/981658.981684"},{"key":"ref1","first-page":"596","article-title":"Fixmatch: Simplifying semi-supervised learning with consistency and confidence","volume":"33","author":"sohn","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref17","first-page":"6543","article-title":"Normalized loss functions for deep learning with noisy labels","author":"ma","year":"2020","journal-title":"International Conference on Machine Learning"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00041"},{"key":"ref19","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref18","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref8","author":"hinton","year":"2015","journal-title":"Distilling the knowledge in a neural network"},{"key":"ref7","author":"cui","year":"2022","journal-title":"Semi-supervised learning using robust loss"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01139"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3115\/1220835.1220855"},{"key":"ref6","first-page":"18408","article-title":"Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling","volume":"34","author":"zhang","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref5","article-title":"Mix-match: A holistic approach to semi-supervised learning","volume":"32","author":"berthelot","year":"2019","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2023 IEEE International Conference on Image Processing (ICIP)","location":"Kuala Lumpur, Malaysia","start":{"date-parts":[[2023,10,8]]},"end":{"date-parts":[[2023,10,11]]}},"container-title":["2023 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10221937\/10221892\/10223107.pdf?arnumber=10223107","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T11:25:07Z","timestamp":1701257107000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10223107\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,8]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/icip49359.2023.10223107","relation":{},"subject":[],"published":{"date-parts":[[2023,10,8]]}}}