CN105844292B - 一种基于条件随机场和二次字典学习的图像场景标注方法 - Google Patents
一种基于条件随机场和二次字典学习的图像场景标注方法 Download PDFInfo
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CN106446965A (zh) * | 2016-10-21 | 2017-02-22 | 西北工业大学 | 一种航天器可见光图像分类方法 |
CN108229515A (zh) * | 2016-12-29 | 2018-06-29 | 北京市商汤科技开发有限公司 | 高光谱图像的对象分类方法和装置、电子设备 |
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CN110163239B (zh) * | 2019-01-25 | 2022-08-09 | 太原理工大学 | 一种基于超像素和条件随机场的弱监督图像语义分割方法 |
CN109903274B (zh) * | 2019-01-31 | 2020-05-15 | 兰州交通大学 | 一种高分辨率遥感影像变化检测方法及系统 |
CN110084136A (zh) * | 2019-04-04 | 2019-08-02 | 北京工业大学 | 基于超像素crf模型的上下文优化室内场景语义标注方法 |
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CN111222395B (zh) * | 2019-10-21 | 2023-05-23 | 杭州飞步科技有限公司 | 目标检测方法、装置与电子设备 |
CN111046783B (zh) * | 2019-12-09 | 2023-06-30 | 山西能源学院 | 一种改进分水岭算法的斜坡地质灾害边界提取方法 |
CN111369688B (zh) * | 2020-03-11 | 2023-05-09 | 暗物智能科技(广州)有限公司 | 一种结构化场景表达的认知导航方法及系统 |
CN111611919B (zh) * | 2020-05-20 | 2022-08-16 | 西安交通大学苏州研究院 | 一种基于结构化学习的道路场景布局分析方法 |
CN116258697B (zh) * | 2023-02-22 | 2023-11-24 | 浙江大学 | 基于粗标注的儿童皮肤病图像自动分类装置和方法 |
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CN104599275A (zh) * | 2015-01-27 | 2015-05-06 | 浙江大学 | 基于概率图模型的非参数化的rgb-d场景理解方法 |
CN104637045A (zh) * | 2013-11-14 | 2015-05-20 | 重庆理工大学 | 一种基于超级像素层次特征的图像像素标号方法 |
CN104809187A (zh) * | 2015-04-20 | 2015-07-29 | 南京邮电大学 | 一种基于rgb-d数据的室内场景语义标注方法 |
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US9164983B2 (en) * | 2011-05-27 | 2015-10-20 | Robert Bosch Gmbh | Broad-coverage normalization system for social media language |
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CN104637045A (zh) * | 2013-11-14 | 2015-05-20 | 重庆理工大学 | 一种基于超级像素层次特征的图像像素标号方法 |
CN104599275A (zh) * | 2015-01-27 | 2015-05-06 | 浙江大学 | 基于概率图模型的非参数化的rgb-d场景理解方法 |
CN104809187A (zh) * | 2015-04-20 | 2015-07-29 | 南京邮电大学 | 一种基于rgb-d数据的室内场景语义标注方法 |
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Application publication date: 20160810 Assignee: Nanjing Nanyou Information Industry Technology Research Institute Co. Ltd. Assignor: Nanjing Post & Telecommunication Univ. Contract record no.: X2019980001257 Denomination of invention: Image scene labeling method based on conditional random field and secondary dictionary study Granted publication date: 20181130 License type: Common License Record date: 20191224 |
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