【点云识别】Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling 论文笔记
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020) 本文介绍一篇cvpr2020里面关于点云识别的文章。 论文 目前还没有开源代码 1. 问题 解决有噪声情况下的点云处理问题 刚开始看见这个问题觉得还蛮吸引人的。 2. 思想 提出两个模
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相关文章
- 1. PointASNL: 点云的Adaptive Sampling（CVPR2020）
- 2. 点云论文汇总
- 3. 论文笔记12:Building Adaptive Tutoring Model using Artificial Neural Networks and Reinforcement Learning
- 4. 【点云识别】Adaptive Hierarchical Down-Sampling for Point Cloud Classification(CVPR 2020)
- 5. From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks && 2020论文笔记
- 6. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
- 7. 论文笔记：Exploring Neural Networks with Activation Atlases
- 8. Unsupervised Learning of Shape and Pose with Differentiable Point Clouds && NIPS 2018 论文笔记
- 9. USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds 2019 论文笔记
- 10. Solving the Blind Perspective-n-Point ProblemEnd-To-End With Robust Differentiabl.....论文笔记