Meaningful Maps With Object-Oriented Semantic Mapping 论文笔记
Meaningful Maps With Object-Oriented Semantic Mapping 2017，语义SLAM，indoor，稀疏地图，RGBD 一、主要贡献 融合了基于稀疏特征的RGBD SLAM方法，基于2D image 的目标检测方法和无监督3D分割网络三种方法，能够建立实例级别、object-oriented 的语义地图。 二、方法介绍 模块： SLAM：ORB-SLA
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相关文章
- 1. Meaningful Maps With Object-Oriented Semantic Mapping
- 2. Meaningful Maps With Object-Oriented Semantic Mapping 【summary】
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- 4. 论文笔记：Image Captioning with Semantic Attention
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- 9. 《Learning Deconvolution Network for Semantic Segmentation》论文笔记
- 10. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation (DeepLab v3+) 论文笔记