{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:13:51Z","timestamp":1775578431066,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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","award":["61771329"],"award-info":[{"award-number":["61771329"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61632018"],"award-info":[{"award-number":["61632018"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin","doi-asserted-by":"publisher","award":["19JCYBJC16000"],"award-info":[{"award-number":["19JCYBJC16000"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2020.3046861","type":"journal-article","created":{"date-parts":[[2020,12,31]],"date-time":"2020-12-31T21:08:56Z","timestamp":1609448936000},"page":"1648-1661","source":"Crossref","is-referenced-by-count":23,"title":["Few-Shot Human-Object Interaction Recognition With Semantic-Guided Attentive Prototypes Network"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2197-3739","authenticated-orcid":false,"given":"Zhong","family":"Ji","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9978-1286","authenticated-orcid":false,"given":"Xiyao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6670-3727","authenticated-orcid":false,"given":"Yanwei","family":"Pang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9163-2761","authenticated-orcid":false,"given":"Wangli","family":"Ouyang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2924-946X","authenticated-orcid":false,"given":"Xuelong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.89"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_25"},{"key":"ref32","article-title":"A comprehensive survey on graph neural networks","author":"wu","year":"2019","journal-title":"arXiv 1901 00596"},{"key":"ref31","first-page":"4848","article-title":"Adaptive cross-modal few-shot learning","author":"xing","year":"2019","journal-title":"Proc NeurIPS"},{"key":"ref30","first-page":"4321","article-title":"Stacked semantic-guided attention model for fine-grained zero-shot learning","author":"yu","year":"2018","journal-title":"Proc NeurIPS"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186116"},{"key":"ref36","first-page":"3546","article-title":"Adaptive graph convolutional neural networks","author":"li","year":"2018","journal-title":"Proc AAAI"},{"key":"ref35","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc ICLR"},{"key":"ref34","article-title":"Capsule neural networks for graph classification using explicit tensorial graph representations","author":"mallea","year":"2019","journal-title":"arXiv 1902 08399"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-015-1846-7"},{"key":"ref40","first-page":"1","article-title":"A closer look at few-shot classification","author":"chen","year":"2019","journal-title":"Proc ICLR"},{"key":"ref11","first-page":"3637","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"Proc NeurIPS"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2910052"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6764"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383331"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00872"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00370"},{"key":"ref17","first-page":"234","article-title":"Compositional learning for human-object interaction","author":"kato","year":"2018","journal-title":"Proc ECCV"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"17","DOI":"10.3115\/v1\/W14-5403","article-title":"TUHOI: Trento universal human object interaction dataset","author":"le","year":"2014","journal-title":"Proc 3rd Workshop Vis Lang"},{"key":"ref19","first-page":"4077","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"2017","journal-title":"Proc NeurIPS"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2904996"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2938680"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.687"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2902115"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.129"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00793"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2957927"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.122"},{"key":"ref7","first-page":"34","article-title":"Attentional pooling for action recognition","author":"girdhar","year":"2017","journal-title":"Proc NeurIPS"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref9","first-page":"7631","article-title":"HCVRD: A benchmark for large-scale human-centered visual relationship detection","author":"zhuang","year":"2018","journal-title":"Proc AAAI"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref22","article-title":"On first-order meta-learning algorithms","author":"nichol","year":"2018","journal-title":"arXiv 1803 02999"},{"key":"ref21","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017","journal-title":"Proc ICML"},{"key":"ref42","first-page":"1","article-title":"Learning to propagate labels: Transductive propagation network for few-shot learning","author":"liu","year":"2019","journal-title":"Proc ICLR"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00288"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00743"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00760"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref43","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc NeurIPS"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2813971"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09311850.pdf?arnumber=9311850","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:12Z","timestamp":1652194212000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9311850\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.3046861","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}