Knowledge Commons of Institute of Automation,CAS
Enhanced Boundary Learning for Glass-like Object Segmentation | |
Hao, He1,2![]() ![]() ![]() | |
2021-10 | |
会议名称 | Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) |
页码 | 15859-15868 |
会议日期 | 2021-10-11 -> 2021-10-17 |
会议地点 | 线上会议 |
摘要 | Glass-like objects such as windows, bottles, and mirrors exist widely in the real world. Sensing these objects has many applications, including robot navigation and grasping. |
关键词 | Semantic Segmentation Glass-like Object Segmentation Boundary Processing |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48651 |
专题 | 多模态人工智能系统全国重点实验室_先进时空数据分析与学习 |
通讯作者 | LuBin, Weng |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.Key Laboratory of Machine Perception (MOE), Peking University 4.SenseTime Group Research 5.Centre for Artificial Intelligence and Robotics, HK Institute of Science & Innovation, CAS 6.Shanghai AI Lab |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Hao, He,Xiangtai, Li,Guangliang, Cheng,et al. Enhanced Boundary Learning for Glass-like Object Segmentation[C],2021:15859-15868. |
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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 | ||
He_Enhanced_Boundary(7575KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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