论文笔记Learning object-action relations from bimanual human demonstration using graph networks
摘要 提供了双手演示的动作分类框架。从原始RGB-D视频提取物体几何动作关系，建立基于图的分类器。 图1：数据集：来自数据集的3个示例性RGB-D图像（为了更好的清晰度而编辑的图像）；特征提取：三级处理流水线的中间结果和最终结果，一个场景图；分类：基于场景图对右手（RH）和左手（LH）执行的动作进行预测的图形网络分类器。 图2：从我们提议的数据集的示范性记录。第一排：准备早餐麦片，切一根香蕉，倒进
相关文章
- 1. 【论文笔记】Learning Structural Similarity of User Interface Layouts using Graph Networks
- 2. 【论文笔记】Graph Transformer Networks
- 3. 论文笔记之Learning Human-Object Interaction Detection using Interaction Points
- 4. GRAPH ATTENTION NETWORKS论文笔记
- 5. 【论文笔记】Graph Matching Networks for Learning the Similarity of Graph Structured Objects
- 6. Emotion Recognition Using Graph Convolutional Networks
- 7. 论文阅读：Learning Human-Object Interactions by Graph Parsing Neural Networks
- 8. Learning Convolutional Neural Networks for Graphs论文笔记
- 9. 论文笔记：LCLR 2018 FastGCN: Fast Learning With Graph Convolutional Networks Via Important Sampling
- 10. 《Relational inductive biases, deep learning, and graph networks》论文解读（转载）
- 更多相关文章...
- • ASP.NET Razor - 标记 - ASP.NET 教程
- • CAP理论是什么？ - NoSQL教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 【论文笔记】Learning Structural Similarity of User Interface Layouts using Graph Networks
- 2. 【论文笔记】Graph Transformer Networks
- 3. 论文笔记之Learning Human-Object Interaction Detection using Interaction Points
- 4. GRAPH ATTENTION NETWORKS论文笔记
- 5. 【论文笔记】Graph Matching Networks for Learning the Similarity of Graph Structured Objects
- 6. Emotion Recognition Using Graph Convolutional Networks
- 7. 论文阅读：Learning Human-Object Interactions by Graph Parsing Neural Networks
- 8. Learning Convolutional Neural Networks for Graphs论文笔记
- 9. 论文笔记：LCLR 2018 FastGCN: Fast Learning With Graph Convolutional Networks Via Important Sampling
- 10. 《Relational inductive biases, deep learning, and graph networks》论文解读（转载）