摘要: Training semantic segmentation models requires a large amount of finely annotated data, making it hard to quickly adapt to novel classes not satisfying this condition. Few- Shot Segmentation (FS-Seg) tackles this problem with many... 展开
作者 | Zhuotao Tian Xin Lai Li Jiang Shu Liu Michelle Shu Hengshuang Zhao Jiaya Jia | ||
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作者单位 | |||
文集名称 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition | ||
出版年 | 2022 | ||
会议名称 | IEEE/CVF Conference on Computer Vision and Pattern Recognition | ||
页码 | 11553-11562 | 开始页/总页数 | 00011553 / 10 |
会议地点 | New Orleans(US) | 会议年 | 2022 |
关键词 | Training Image segmentation Computer vision Codes Shape Semantics Prototypes | ||
馆藏号 | IEL34474 (9878378) |