【CVPR2022 点云3D检测SOTA】SoftGroup for 3D Instance Segmentation on Point Clouds - 代码天地

【CVPR2022 点云3D检测SOTA】SoftGroup for 3D Instance Segmentation on Point Clouds

企业开发 2022-10-03 22:26:30 阅读次数: 0

SoftGroup for 3D Instance Segmentation on Point Clouds

论文简介：
具体实现：
实验结果：
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转载自blog.csdn.net/weixin_44936889/article/details/126399850

【CVPR2022 点云3D检测SOTA】SoftGroup for 3D Instance Segmentation on Point Clouds

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

【点云识别】PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation (CVPR 2020)

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

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

CVPR 2019: Generating 3D Adversarial Point Clouds 生成三维对抗点云数据

Paper5：Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Per

CVPR 2019——PointConv: Deep Convolutional Networks on 3D Point Clouds

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

【论文简述】Occlusion Guided Scene Flow Estimation on 3D Point Clouds（CVPR 2021）

【点云识别】3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation (CVPR 2020)

【IJCV 2022】RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

CVPR2020——3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation

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【论文阅读】[CVPR 2019] PointConv： Deep Convolutional Networks on 3D Point Clouds. [cls. seg.]

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

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