{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T00:35:54Z","timestamp":1771979754511,"version":"3.50.1"},"reference-count":35,"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\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"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"}]},{"DOI":"10.13039\/501100005090","name":"Beijing Nova Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005090","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\/icme51207.2021.9428447","type":"proceedings-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T21:14:21Z","timestamp":1623273261000},"page":"1-6","source":"Crossref","is-referenced-by-count":11,"title":["Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision"],"prefix":"10.1109","author":[{"given":"Hainan","family":"Li","sequence":"first","affiliation":[{"name":"Beihang University,State Key Lab of Software Development Environment"}]},{"given":"Renshuai","family":"Tao","sequence":"additional","affiliation":[{"name":"Beihang University,State Key Lab of Software Development Environment"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[{"name":"Beihang University,State Key Lab of Software Development Environment"}]},{"given":"Haotong","family":"Qin","sequence":"additional","affiliation":[{"name":"Beihang University,State Key Lab of Software Development Environment"}]},{"given":"Yifu","family":"Ding","sequence":"additional","affiliation":[{"name":"Beihang University,State Key Lab of Software Development Environment"}]},{"given":"Shuo","family":"Wang","sequence":"additional","affiliation":[{"name":"Beihang University,State Key Lab of Software Development Environment"}]},{"given":"Xianglong","family":"Liu","sequence":"additional","affiliation":[{"name":"Beihang University,State Key Lab of Software Development Environment"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01091"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00011"},{"key":"ref31","article-title":"Meta-learning with latent embedding optimization","author":"rusu","year":"2019","journal-title":"ICLRE"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00755"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00009"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00419"},{"key":"ref10","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017","journal-title":"ICML"},{"key":"ref11","article-title":"Gradient-based meta-learning with learned layerwise metric and subspace","author":"lee","year":"2018","journal-title":"ICML"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_27"},{"key":"ref13","article-title":"Unsupervised representation learning by predicting image rotations","author":"gidaris","year":"2018","journal-title":"ICLRE"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_5"},{"key":"ref16","article-title":"Learning deep representations by mutual information estimation and maximization","author":"hjelm","year":"2019","journal-title":"ICLRE"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref18","article-title":"Momentum contrast for unsupervised visual representation learning","author":"he","year":"2019","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.5244\/C.30.87","article-title":"Wide residual networks","author":"zagoruyko","year":"2016"},{"key":"ref4","article-title":"Over-sampling de-occlusion attention network for prohibited items detection in noisy x-ray images","author":"tao","year":"2021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00459"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01540"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00049"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00815"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00610"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2977459"},{"key":"ref8","article-title":"Deep clustering for unsupervised learning of visual features","author":"caron","year":"2018","journal-title":"ECCV"},{"key":"ref7","article-title":"When does self-supervision improve few-shot learning?","author":"su","year":"2019"},{"key":"ref2","article-title":"Bipointnet: Binary neural network for point clouds","author":"qin","year":"2020"},{"key":"ref9","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"2017","journal-title":"NIPS"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413828"},{"key":"ref20","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"NIPS"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref21","article-title":"Meta-learning for semi-supervised few-shot classification","author":"ren","year":"2018","journal-title":"ICLRE"},{"key":"ref24","article-title":"Meta networks","author":"munkhdalai","year":"2017","journal-title":"ICML"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref26","article-title":"Tadam: Task dependent adaptive metric for improved few-shot learning","author":"oreshkin","year":"2018","journal-title":"NIPS"},{"key":"ref25","article-title":"A simple neural network module for relational reasoning","author":"santoro","year":"2017","journal-title":"NIPS"}],"event":{"name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","location":"Shenzhen, China","start":{"date-parts":[[2021,7,5]]},"end":{"date-parts":[[2021,7,9]]}},"container-title":["2021 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9428049\/9428068\/09428447.pdf?arnumber=9428447","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T21:27:41Z","timestamp":1656365261000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9428447\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,5]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/icme51207.2021.9428447","relation":{},"subject":[],"published":{"date-parts":[[2021,7,5]]}}}