{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T11:20:19Z","timestamp":1722943219315},"reference-count":28,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,5]]},"DOI":"10.1109\/icme51207.2021.9428237","type":"proceedings-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T21:14:21Z","timestamp":1623273261000},"source":"Crossref","is-referenced-by-count":3,"title":["Saliency-Guided Complementary Attention for Improved Few-Shot Learning"],"prefix":"10.1109","author":[{"given":"Linglan","family":"Zhao","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China,200240"}]},{"given":"Ge","family":"Liu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China,200240"}]},{"given":"Dashan","family":"Guo","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China,200240"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China,200240"}]},{"given":"Xiangzhong","family":"Fang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Electronic Engineering,Shanghai,China,200240"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01222"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00941"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00815"},{"key":"ref13","article-title":"Meta-learning with latent embedding optimization","author":"rusu","year":"2019","journal-title":"ICLRE"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00610"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00288"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01348"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_42"},{"key":"ref18","article-title":"A new meta-baseline for few-shot learning","author":"chen","year":"2020","journal-title":"ArXiv"},{"key":"ref19","article-title":"Rethinking few-shot image classification: a good embedding is all you need?","author":"tian","year":"2020","journal-title":"ECCV"},{"key":"ref4","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"2017","journal-title":"NeurIPS"},{"key":"ref28","article-title":"Tap-Net: Neural network augmented with task-adaptive projection for few-shot learning","author":"yoon","year":"2019","journal-title":"ICML"},{"key":"ref3","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"NeurIPS"},{"key":"ref27","article-title":"Xtarnet: Learning to extract task-adaptive representation for incremental few-shot learning","author":"yoon","year":"2020","journal-title":"ICML"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref5","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017","journal-title":"ICML"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00382"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00459"},{"key":"ref2","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00883"},{"key":"ref20","article-title":"Negative margin matters: Understanding margin in few-shot classification","author":"liu","year":"2020","journal-title":"ECCV"},{"key":"ref22","article-title":"The caltech-ucsd birds-200-2011 dataset","author":"wah","year":"2011","journal-title":"Technical Report"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref24","article-title":"Incremental few-shot learning with attention attractor networks","author":"ren","year":"2019","journal-title":"NeurIPS"},{"key":"ref23","article-title":"A closer look at few-shot classification","author":"chen","year":"2019","journal-title":"ICLRE"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_2"},{"key":"ref25","article-title":"Cross attention network for few-shot classification","author":"hou","year":"2019","journal-title":"NeurIPS"}],"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\/09428237.pdf?arnumber=9428237","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:24:15Z","timestamp":1659486255000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9428237\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,5]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icme51207.2021.9428237","relation":{},"subject":[],"published":{"date-parts":[[2021,7,5]]}}}