{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:07:48Z","timestamp":1740100068888,"version":"3.37.3"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,5]]},"DOI":"10.1109\/icmew53276.2021.9455947","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T20:29:27Z","timestamp":1624307367000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Residual Proportion Multilayer Perceptron For Few-Shot Classification"],"prefix":"10.1109","author":[{"given":"Qifan","family":"Liu","sequence":"first","affiliation":[{"name":"Shenzhen University,Shenzhen Key Laboratory of Media Security, College of Electronics and Information Engineering,Shenzhen,China,518061"}]},{"given":"Zhineng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Shenzhen University,Shenzhen Key Laboratory of Media Security, College of Electronics and Information Engineering,Shenzhen,China,518061"}]},{"given":"Wenming","family":"Cao","sequence":"additional","affiliation":[{"name":"Shenzhen University,Shenzhen Key Laboratory of Media Security, College of Electronics and Information Engineering,Shenzhen,China,518061"}]},{"given":"Zhiquan","family":"He","sequence":"additional","affiliation":[{"name":"Shenzhen University,Shenzhen Key Laboratory of Media Security, College of Electronics and Information Engineering,Shenzhen,China,518061"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00419"},{"key":"ref12","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017","journal-title":"arXiv preprint arXiv 1703 03179"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01199"},{"article-title":"Optimization as a model for few-shot learning","year":"2016","author":"ravi","key":"ref14"},{"key":"ref15","first-page":"802","article-title":"Convolutional lstm network: A machine learning approach for precipitation nowcasting","volume":"28","author":"shi","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref16","first-page":"1842","article-title":"Meta-learning with memory-augmented neural networks","author":"santoro","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref19","first-page":"7229","article-title":"Few-shot image recognition by predicting parameters from activations","author":"qiao","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00851"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00981"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-56773-5"},{"key":"ref5","article-title":"Meta-learning: A survey","author":"vanschoren","year":"2018","journal-title":"arXiv preprint arXiv 1810 04805"},{"key":"ref8","first-page":"3630","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"Few-shot learning with graph neural networks","author":"garcia","year":"2017","journal-title":"arXiv preprint arXiv 1711 04598"},{"key":"ref2","article-title":"A closer look at few-shot classification","author":"chen","year":"2019","journal-title":"arXiv preprint arXiv 1904 04370"},{"key":"ref9","first-page":"4077","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3386252"},{"key":"ref20","article-title":"Meta-learning with latent embedding optimization","author":"rusu","year":"2018","journal-title":"arXiv preprint arXiv 1807 05960"},{"key":"ref22","first-page":"2554","article-title":"Meta networks","volume":"70","author":"munkhdalai","year":"2017","journal-title":"Machine Learning Research"},{"key":"ref21","article-title":"A simple neural attentive meta-learner","author":"mishra","year":"2017","journal-title":"arXiv preprint arXiv 1707 03374"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00049"},{"key":"ref23","first-page":"721","article-title":"Tadam: Task dependent adaptive metric for improved few-shot learning","volume":"31","author":"oreshkin","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref26","article-title":"A new meta-baseline for few-shot learning","author":"chen","year":"2020","journal-title":"arXiv preprint arXiv 2003 07516"},{"key":"ref25","first-page":"10657","article-title":"Meta-learning with differentiable convex optimization","author":"lee","year":"2019","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"}],"event":{"name":"2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","start":{"date-parts":[[2021,7,5]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,9]]}},"container-title":["2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9455768\/9455942\/09455947.pdf?arnumber=9455947","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T21:16:36Z","timestamp":1655154996000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9455947\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,5]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icmew53276.2021.9455947","relation":{},"subject":[],"published":{"date-parts":[[2021,7,5]]}}}