Knowledge Commons of Institute of Automation,CAS
TREE HIERARCHICAL CNNS FOR OBJECT PARSING | |
Xiaomei Zhang1,2![]() ![]() ![]() ![]() ![]() ![]() | |
2018 | |
会议名称 | International Conference on Image Processing |
会议日期 | 2020 |
会议地点 | 希腊雅典 |
摘要 | Object parsing is a challenging topic in computer vision, which is to distinguish all parts of visual objects. Although lots of works have been proposed, it is difficult to segment complicated objects from complex scenes. Therefore, in this paper we propose a tree hierarchical CNNs for object parsing. Rather than segment all parts of objects at once, we segment object parts step by step in a tree hierarchy and then merge the |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44889 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, China, 100190 2.University of Chinese Academy of Sciences, Beijing, China, 100049 |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Xiaomei Zhang,Yingying Chen,Bingke Zhu,et al. TREE HIERARCHICAL CNNS FOR OBJECT PARSING[C],2018. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
ICIP_2018_TREE HIERA(1722KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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