CN105931241B - 一种自然场景图像的自动标注方法 - Google Patents
一种自然场景图像的自动标注方法 Download PDFInfo
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Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
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CN106558058B (zh) * | 2016-11-29 | 2020-10-09 | 北京图森未来科技有限公司 | 分割模型训练方法、道路分割方法、车辆控制方法及装置 |
CN109427068A (zh) * | 2017-08-30 | 2019-03-05 | 新加坡国立大学 | 基于超像素自动标注的深度学习共分割方法 |
CN107578069B (zh) * | 2017-09-18 | 2020-12-29 | 北京邮电大学世纪学院 | 图像多尺度自动标注方法 |
CN107909081B (zh) * | 2017-10-27 | 2022-04-08 | 东南大学 | 一种深度学习中图像数据集的快速获取和快速标定方法 |
CN108038857B (zh) * | 2017-12-25 | 2018-10-12 | 北京航空航天大学 | 一种基于语义信息与边缘约束的前景目标检测方法 |
CN108921086A (zh) * | 2018-06-29 | 2018-11-30 | Oppo广东移动通信有限公司 | 图像处理方法和装置、存储介质、电子设备 |
CN109492686A (zh) * | 2018-11-01 | 2019-03-19 | 郑州云海信息技术有限公司 | 一种图片标注方法与系统 |
CN109522908B (zh) * | 2018-11-16 | 2023-04-14 | 辽宁工程技术大学 | 基于区域标签融合的图像显著性检测方法 |
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US20090216739A1 (en) * | 2008-02-22 | 2009-08-27 | Yahoo! Inc. | Boosting extraction accuracy by handling training data bias |
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CN104239522A (zh) * | 2014-09-17 | 2014-12-24 | 西安电子科技大学 | 一种基于图像间内容约束的超像素编码图像检索方法 |
CN104463870A (zh) * | 2014-12-05 | 2015-03-25 | 中国科学院大学 | 一种图像显著区域检测方法 |
CN105321176A (zh) * | 2015-09-30 | 2016-02-10 | 西安交通大学 | 一种基于分层高阶条件随机场的图像分割方法 |
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