{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T02:59:07Z","timestamp":1772593147032,"version":"3.50.1"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Consulting research project of Chinese academy of engineering The Online and Offline Mixed Educational Service System for The Belt and Road Training in MOOC China"},{"name":"Project of China Knowledge Centre for Engineering Science and Technology"},{"name":"Innovation Research Team of Ministry of Education","award":["IRT_17R86"],"award-info":[{"award-number":["IRT_17R86"]}]},{"name":"Innovative Research Group of the National Natural Science Foundation of China","award":["61721002"],"award-info":[{"award-number":["61721002"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61877050"],"award-info":[{"award-number":["61877050"]}],"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":["61937001"],"award-info":[{"award-number":["61937001"]}],"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":["62050194"],"award-info":[{"award-number":["62050194"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M683493"],"award-info":[{"award-number":["2020M683493"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2020AAA0108800"],"award-info":[{"award-number":["2020AAA0108800"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1109\/tcsvt.2021.3076523","type":"journal-article","created":{"date-parts":[[2021,4,29]],"date-time":"2021-04-29T19:53:32Z","timestamp":1619726012000},"page":"1213-1223","source":"Crossref","is-referenced-by-count":33,"title":["Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8136-8795","authenticated-orcid":false,"given":"Lingling","family":"Zhang","sequence":"first","affiliation":[{"name":"SPKLSTN Laboratory, School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5536-6515","authenticated-orcid":false,"given":"Shaowei","family":"Wang","sequence":"additional","affiliation":[{"name":"SPKLSTN Laboratory, School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7778-8807","authenticated-orcid":false,"given":"Xiaojun","family":"Chang","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Monash University, Clayton, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Liu","sequence":"additional","affiliation":[{"name":"SPKLSTN Laboratory, School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5880-8673","authenticated-orcid":false,"given":"Zongyuan","family":"Ge","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Monash University, Clayton, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinghua","family":"Zheng","sequence":"additional","affiliation":[{"name":"SPKLSTN Laboratory, School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3066912"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2736553"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00096"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2848358"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2017.07.001"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2931352"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2935128"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107348"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3037518"},{"key":"ref10","first-page":"1134","article-title":"A Bayesian approach to unsupervised one-shot learning of object categories","volume-title":"Proc. ICCV","author":"Fe-Fei"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.79"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_46"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3007511"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3386252"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01063"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00053"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3011807"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.12.010"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00047"},{"key":"ref20","article-title":"A closer look at few-shot classification","volume-title":"arXiv:1904.04232","author":"Chen","year":"2019"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2608901"},{"key":"ref22","article-title":"DARTS: Differentiable architecture search","volume-title":"arXiv:1806.09055","author":"Liu","year":"2018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00720"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00017"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3447582"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01206"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00850"},{"key":"ref28","first-page":"1","article-title":"Hierarchical neural architecture search for deep stereo matching","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Cheng"},{"key":"ref29","first-page":"2526","article-title":"One-shot learning by inverting a compositional causal process","volume-title":"Proc. NeurIPS","author":"Lake"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.07.007"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2995754"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00883"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093623"},{"key":"ref34","first-page":"1","article-title":"Siamese neural networks for one-shot image recognition","volume-title":"Proc. ICML Deep Learn. Workshop","volume":"2","author":"Koch"},{"key":"ref35","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. NeurIPS","author":"Goodfellow"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00738"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01199"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00009"},{"key":"ref39","first-page":"3630","article-title":"Matching networks for one shot learning","volume-title":"Proc. NeurIPS","author":"Vinyals"},{"key":"ref40","first-page":"4077","article-title":"Prototypical networks for few-shot learning","volume-title":"Proc. NeurIPS","author":"Snell"},{"key":"ref41","article-title":"Few-shot learning with graph neural networks","volume-title":"arXiv:1711.04043","author":"Garcia","year":"2017"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref43","first-page":"1","article-title":"Optimization as a model for few-shot learning","volume-title":"Proc. ICLR","author":"Ravi"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.386"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00844"},{"key":"ref46","article-title":"Improving one-shot learning through fusing side information","volume-title":"arXiv:1710.08347","author":"Hubert Tsai","year":"2017"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00647"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2993952"},{"key":"ref49","article-title":"Neural architecture search with reinforcement learning","volume-title":"arXiv:1611.01578","author":"Zoph","year":"2016"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref51","article-title":"Practical block-wise neural network architecture generation","volume-title":"arXiv:1708.05552","author":"Zhong","year":"2017"},{"key":"ref52","first-page":"2902","article-title":"Large-scale evolution of image classifiers","volume-title":"Proc. ICML","author":"Real"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref54","article-title":"Hierarchical representations for efficient architecture search","volume-title":"arXiv:1711.00436","author":"Liu","year":"2017"},{"key":"ref55","article-title":"SNAS: Stochastic neural architecture search","volume-title":"arXiv:1812.09926","author":"Xie","year":"2018"},{"key":"ref56","article-title":"Random search and reproducibility for neural architecture search","volume-title":"arXiv:1902.07638","author":"Li","year":"2019"},{"key":"ref57","article-title":"Towards automated deep learning: Efficient joint neural architecture and hyperparameter search","volume-title":"arXiv:1807.06906","author":"Zela","year":"2018"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00385"},{"key":"ref59","article-title":"DetNAS: Backbone search for object detection","volume-title":"arXiv:1903.10979","author":"Chen","year":"2019"},{"key":"ref60","article-title":"StyleNAS: An empirical study of neural architecture search to uncover surprisingly fast end-to-end universal style transfer networks","volume-title":"arXiv:1906.02470","author":"An","year":"2019"},{"key":"ref61","article-title":"The Caltech-UCSD birds-200-2011 dataset","author":"Wah","year":"2011"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2857768"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00010"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00743"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/9730812\/09419063.pdf?arnumber=9419063","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:21:02Z","timestamp":1704842462000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9419063\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":64,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2021.3076523","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3]]}}}