【點雲識別】Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling 論文筆記
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020) 本文介紹一篇cvpr2020裏面關於點雲識別的文章。 論文 目前還沒有開源代碼 1. 問題 解決有噪聲情況下的點雲處理問題 剛開始看見這個問題覺得還蠻吸引人的。 2. 思想 提出兩個模
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相關文章
- 1. PointASNL: 點雲的Adaptive Sampling（CVPR2020）
- 2. 點雲論文彙總
- 3. 論文筆記12:Building Adaptive Tutoring Model using Artificial Neural Networks and Reinforcement Learning
- 4. 【點雲識別】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論文筆記
- 6. Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
- 7. 論文筆記：Exploring Neural Networks with Activation Atlases
- 8. Unsupervised Learning of Shape and Pose with Differentiable Point Clouds && NIPS 2018 論文筆記
- 9. USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds 2019 論文筆記
- 10. Solving the Blind Perspective-n-Point ProblemEnd-To-End With Robust Differentiabl.....論文筆記