{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T17:32:19Z","timestamp":1771954339826,"version":"3.50.1"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"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":[[2021,9,19]]},"DOI":"10.1109\/icip42928.2021.9506696","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T21:08:41Z","timestamp":1629752921000},"page":"864-868","source":"Crossref","is-referenced-by-count":2,"title":["Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation"],"prefix":"10.1109","author":[{"given":"Satoshi","family":"Suzuki","sequence":"first","affiliation":[{"name":"NTT Media Intelligence Laboratories, NTT Corporation,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shoichiro","family":"Takeda","sequence":"additional","affiliation":[{"name":"NTT Media Intelligence Laboratories, NTT Corporation,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryuichi","family":"Tanida","sequence":"additional","affiliation":[{"name":"NTT Media Intelligence Laboratories, NTT Corporation,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hideaki","family":"Kimata","sequence":"additional","affiliation":[{"name":"NTT Media Intelligence Laboratories, NTT Corporation,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hayaru","family":"Shouno","sequence":"additional","affiliation":[{"name":"University of Electro-Communications,Department of Informatics,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00277"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2500224"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00494"},{"key":"ref14","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015","journal-title":"Deep Learning and Representation Learning Workshop NIPS"},{"key":"ref15","article-title":"Few-shot learning of neural networks from scratch by pseudo example optimization","author":"kimura","year":"2018","journal-title":"British Machine Vision Conference (BMVC)"},{"key":"ref16","article-title":"Fitnets: Hints for thin deep nets","author":"romero","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref17","article-title":"Born again neural networks","author":"furlanello","year":"2018","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref19","article-title":"Network in network","author":"lin","year":"2013","journal-title":"arXiv preprint arXiv 1312 4400"},{"key":"ref4","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref3","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref6","article-title":"Making convolutional networks shiftinvariant again","author":"zhang","year":"2019","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref8","article-title":"Curriculum by smoothing","author":"sinha","year":"2020","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00727"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00342633"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/T-AIEE.1928.5055024"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00344251"}],"event":{"name":"2021 IEEE International Conference on Image Processing (ICIP)","location":"Anchorage, AK, USA","start":{"date-parts":[[2021,9,19]]},"end":{"date-parts":[[2021,9,22]]}},"container-title":["2021 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9506008\/9506009\/09506696.pdf?arnumber=9506696","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T00:02:59Z","timestamp":1670371379000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9506696\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,19]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icip42928.2021.9506696","relation":{},"subject":[],"published":{"date-parts":[[2021,9,19]]}}}