Part-aware Prototype Network for Few-shot Semantic Segmentation
2020-07
会议录名称EUROPEAN COMPUTER VISION ASSOCIATION (IF:0.402[JCR-2005],0.000[5-Year])
ISSN0302-9743
卷号12354 LNCS
页码142-158
发表状态已发表
DOIhttps://link.springer.com/chapter/10.1007/978-3-030-58545-7_9
摘要

Few-shot semantic segmentation aims to learn to segment new object classes with only a few annotated examples, which has a wide range of real-world applications. Most existing methods either focus on the restrictive setting of one-way few-shot segmentation or suffer from incomplete coverage of object regions. In this paper, we propose a novel few-shot semantic segmentation framework based on the prototype representation. Our key idea is to decompose the holistic class representation into a set of part-aware prototypes, capable of capturing diverse and fine-grained object features. In addition, we propose to leverage unlabeled data to enrich our part-aware prototypes, resulting in better modeling of intra-class variations of semantic objects. We develop a novel graph neural network model to generate and enhance the proposed part-aware prototypes based on labeled and unlabeled images. Extensive experimental evaluations on two benchmarks show that our method outperforms the prior art with a sizable margin

关键词Semantics Computer vision Semantic Web Image enhancement Graph neural networks Experimental evaluation Graph neural networks Intra-class variation Object region Semantic objects Semantic segmentation Shot segmentation Unlabeled data
会议名称ECCV-2020
出版地springer
会议地点Glasgow, Scotland
会议日期2020.08.26
URL查看原文
收录类别SCI ; EI
语种英语
出版者Springer Science and Business Media Deutschland GmbH
EI入藏号20204909584772
EI主题词Semantic Segmentation
EISSN1611-3349
EI分类号723 Computer Software, Data Handling and Applications ; 723.4 Artificial Intelligence ; 723.5 Computer Applications ; 741.2 Vision ; 903 Information Science
原始文献类型Conference article (CA)
文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/123465
专题信息科学与技术学院_硕士生
信息科学与技术学院_PI研究组_何旭明组
信息科学与技术学院_博士生
共同第一作者Zhang XY(张相宜)
通讯作者Xuming He
作者单位
1.ShanghaiTech University
2.Shanghai Engineering Research Center of Intelligent Vision and Imaging
第一作者单位上海科技大学
通讯作者单位上海科技大学
第一作者的第一单位上海科技大学
推荐引用方式
GB/T 7714
Liu YF,Zhang XY,Zhang SY,et al. Part-aware Prototype Network for Few-shot Semantic Segmentation[C]. springer:Springer Science and Business Media Deutschland GmbH,2020:142-158.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Liu YF(刘永飞)]的文章
[Zhang XY(张相宜)]的文章
[Zhang SY(张松阳)]的文章
百度学术
百度学术中相似的文章
[Liu YF(刘永飞)]的文章
[Zhang XY(张相宜)]的文章
[Zhang SY(张松阳)]的文章
必应学术
必应学术中相似的文章
[Liu YF(刘永飞)]的文章
[Zhang XY(张相宜)]的文章
[Zhang SY(张松阳)]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。