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
Papers with Code 아카이브
3D Semantic Segmentation
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3D Semantic Segmentation is a computer vision task that involves dividing a 3D point cloud or 3D mesh into semantically meaningful parts or regions. The goal of 3D semantic segmentation is to identify and label different objects and parts within a 3D scene, which can be used for applications such as robotics, autonomous driving, and augmented reality.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Meowuu7/Point-Transformer
https://github.com/Microsoft/O-CNN
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
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/MindSpore-scientific/code-10/tree/main/rand_conv-master
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
https://github.com/MindSpore-scientific/code-8/tree/main/rand_conv-master
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
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/NVIDIA/MinkowskiEngine
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
https://github.com/NVlabs/splatnet
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
https://github.com/Nacriema/Loss-Functions-For-Semantic-Segmentation
blob loss: instance imbalance aware loss functions for semantic segmentation
https://github.com/POSTECH-CVLab/point-transformer
https://github.com/PRBonn/LiDAR-MOS
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform
https://github.com/PRBonn/lidar-bonnetal
https://github.com/PaParaZz1/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/PaddlePaddle/Paddle3D
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
https://github.com/Phimos/Paddle-PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/PointCloudYC/SQN_tensorflow
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic 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/TejasAnvekar/Mahalanobis-k-NN
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.