CVPR 2020——Grid-GCN for Fast and Scalable Point Cloud Learning - 代码天地

CVPR 2020——Grid-GCN for Fast and Scalable Point Cloud Learning

其他 2020-09-18 14:12:40 阅读次数: 0

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转载自blog.csdn.net/Dujing2019/article/details/105035670

CVPR 2020——Grid-GCN for Fast and Scalable Point Cloud Learning

【点云识别】Grid-GCN for Fast and Scalable Point Cloud Learning (CVPR 2020)

CVPR 2020——FPConv: Learning Local Flattening for Point Convolution

【CVPR 2020】PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

【论文阅读】[CVPR 2022] Contrastive Boundary Learning for Point Cloud Segmentation. [code] [Segmentation]

【点云识别】FPConv: Learning Local Flattening for Point Convolution (CVPR 2020)

CVPR 2020——Learning to Segment 3D Point Clouds in 2D Image Space

CVPR 2020——Weakly Supervised Semantic Point Cloud Segmentation: Towards 10× Fewer Labels

【点云识别】Learning to Segment 3D Point Clouds in 2D Image Space (CVPR 2020)

【论文复现】——FEC: Fast Euclidean Clustering for Point Cloud Segmentation

【论文研读】PointGrid（2018cvpr，point cloud）

【论文阅读】[CVPR 2022] ART-Point： Improving Rotation Robustness of Point Cloud Classifiers via Adversaria

【3D deep learning on Point cloud】(1)

AI论文探讨室·A+·第24期 Deep Closest Point: Learning Representations for Point Cloud Registration

图像检索入门：CVPR2015《Deep Learning of Binary Hash Codes for Fast Image Retrieval》

CVPR 2019——Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

【CVPR 2017】PointNet：Deep Learning on Point Sets for 3D Classification and Segmentation

【CVPR 2018】Learning Representations and Generative Models for 3D Point Clouds

Point Cloud

“Fast 3D Line Segment Detection From Unorganized Point Cloud“ ---深度解读

(CVPR 2019) Relation-Shape Convolutional Neural Network for Point Cloud Analysis

【CVPR2022】A Unified Query-based Paradigm for Point Cloud Understanding

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection(VoxelNet模型)

VoxelNet：End-to-End Learning for Point Cloud Based 3D Object Detection阅读笔记

【论文阅读】【ICCV 2021】CurveNet：Walk in the Cloud： Learning Curves for Point Clouds Shape Analysis

【论文阅读】【2201.00785v2】Implicit Autoencoder for Point Cloud Self-supervised Representation Learning

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction(中文翻译-机翻)

NASNet：Learning Transferable Architectures for Scalable Image Recognition

Reinforcement Learning, Fast and Slow

CVPR2020：Learning in the Frequency Domain(翻译)（二）

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