{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T06:12:56Z","timestamp":1760249576780,"version":"3.37.3"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007065","name":"NVIDIA","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007065","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9412809","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"7372-7378","source":"Crossref","is-referenced-by-count":3,"title":["Multiscale Attention-Based Prototypical Network For Few-Shot Semantic Segmentation"],"prefix":"10.1109","author":[{"given":"Yifei","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Desire","family":"Sidibe","sequence":"additional","affiliation":[]},{"given":"Olivier","family":"Morel","sequence":"additional","affiliation":[]},{"given":"Fabrice","family":"Meriaudeau","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results","year":"0","author":"everingham","key":"ref33"},{"journal-title":"Network in Network","year":"2013","author":"lin","key":"ref32"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"2014","author":"simonyan","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00929"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.344"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref35","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126343"},{"key":"ref10","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref11","article-title":"Refinenet: Multi-path refinement networks for high-resolution semantic segmentation","volume":"abs 1611 6612","author":"lin","year":"2016","journal-title":"CoRR"},{"journal-title":"Semantic image segmentation with deep convolutional nets and fully connected crfs","year":"2014","author":"chen","key":"ref12"},{"key":"ref13","article-title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs","volume":"abs 1606 915","author":"chen","year":"2016","journal-title":"CoRR"},{"journal-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","year":"2018","author":"chen","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.396"},{"key":"ref16","article-title":"End-to-end instance segmentation and counting with recurrent attention","volume":"abs 1605 9410","author":"ren","year":"2016","journal-title":"CoRR"},{"key":"ref17","article-title":"Attention-guided unified network for panoptic segmentation","volume":"abs 1812 3904","author":"li","year":"2018","journal-title":"CoRR"},{"key":"ref18","article-title":"Attention is all you need","volume":"abs 1706 3762","author":"vaswani","year":"2017","journal-title":"CoRR"},{"key":"ref19","article-title":"Squeeze-and-excitation networks","volume":"abs 1709 1507","author":"hu","year":"2017","journal-title":"CoRR"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018441"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1021\/acscentsci.6b00367"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00535"},{"journal-title":"Learning to remember rare events","year":"2017","author":"ukasz","key":"ref3"},{"key":"ref6","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume":"70","author":"finn","year":"0","journal-title":"Proceedings of the 34th International Conference on Machine Learning"},{"journal-title":"Sg-one Similarity guidance network for one-shot semantic segmentation","year":"2018","author":"zhang","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.79"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref7","article-title":"Optimization as a model for few-shot learning","author":"ravi","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref2","first-page":"3630","article-title":"Matching networks for one shot learning","author":"vinyals","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"journal-title":"One-shot imitation learning","year":"2017","author":"duan","key":"ref1"},{"key":"ref20","article-title":"Revis-iting metric learning for few-shot image classification","volume":"abs 1907 3123","author":"li","year":"2019","journal-title":"ArXiv"},{"key":"ref22","first-page":"4077","article-title":"Prototypical networks for few-shot learning","author":"snell","year":"0","journal-title":"Advances in neural information processing systems"},{"journal-title":"Few-shot learning with graph neural networks","year":"2017","author":"garcia","key":"ref21"},{"journal-title":"Conditional networks for few-shot semantic segmentation","year":"2018","author":"rakelly","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.167"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2019.10181"},{"key":"ref25","article-title":"Few-shot semantic segmentation with prototype learning","volume":"3","author":"dong","year":"0","journal-title":"BMVC"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2021,1,10]]},"location":"Milan, Italy","end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09412809.pdf?arnumber=9412809","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:43Z","timestamp":1652197243000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9412809\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9412809","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}