Papers with Code 아카이브
Point Cloud Segmentation
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3D point cloud segmentation is the process of classifying point clouds into multiple homogeneous regions, the points in the same region will have the same properties. The segmentation is challenging because of high redundancy, uneven sampling density, and lack explicit structure of point cloud data. This problem has many applications in robotics such as intelligent vehicles, autonomous mapping and navigation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/LinZhuoChen/pointnet2_multi_gpu
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/Lonepic/SPIB
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/Lw510107/PointNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/Lw510107/pointnet-2018.6.27-
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/LyapunovShao/pointSIFT
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
https://github.com/MS-Mind/MS-Code-06/tree/main/pointtransformer
https://github.com/MVIG-SJTU/pointSIFT
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
https://github.com/Melo-Wang/Deep-Learning-on-Point-Cloud-of-Aerospace-Components-for-3D-Classification
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Meowuu7/Point-Transformer
https://github.com/Mind23-2/MindCode-5/tree/main/pointtransformer
https://github.com/Mind23-2/MindCode-63
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/MindSpore-paper-code-2/code2/tree/main/pointtransformer
https://github.com/MindSpore-paper-code-3/code4/tree/main/frustum-pointnet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/MindSpore-paper-code-3/code9/tree/main/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/MindSpore-paper-code-3/code9/tree/main/PointNet2
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/MindSpore-scientific-2/code-3/tree/main/Sub2Full-OCT-Denoising
https://github.com/ModelBunker/PointNet-TensorFlow
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Moon-Xuezha/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/POSTECH-CVLab/FastPointTransformer
https://github.com/POSTECH-CVLab/point-transformer
https://github.com/PaParaZz1/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/PaddlePaddle/Paddle3D
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
https://github.com/Phimos/Paddle-PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/RaduAlexandru/lattice_net
LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices
https://github.com/SBPL-Cruz/perch_pose_sampler
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/SY-Xuan/pointnet_paddle
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/SY-Xuan/pointnet_plus_plus_paddlepaddle
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/ShadowShadowWong/update-pointnet-work
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Sharpiless/Point-Transformer-Pytorch
https://github.com/SonuDileep/3-D-Object-Detection-using-PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Squanch-U/DGCNN
https://github.com/THHHomas/mls
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Taeuk-Jang/pointcompletion
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/TiagoCortinhal/SalsaNext
https://github.com/VaanHUANG/CSCI5210HW1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.