Alternatives and similar repositories for ContrastNet:

Users that are interested in ContrastNet are comparing it to the libraries listed below

• samaonline / spatial-transformer-for-3d-point-clouds
  spatial transformer for 3d point clouds
  ☆29Updated 3 years ago
• EnyaHermite / SegGCN
  SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel
  ☆31Updated 4 years ago
• tegusi / RGCNN
  Regularized Graph CNN for Point Cloud Segmentation
  ☆56Updated 6 years ago
• yunlu-chen / PointMixup
  Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation
  ☆98Updated 4 years ago
• lijx10 / rot-equ-net
  Discrete Rotation Equivariance for Point Cloud Recognition. ICRA 2019
  ☆23Updated 6 years ago
• XLechter / PCAN
  Code for PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
  ☆74Updated 2 years ago
• dahliau / DPDist
  DPDist : Comparing Point Clouds Using Deep Point Cloud Distance (ECCV2020)
  ☆63Updated 3 years ago
• KuangenZhang / ldgcnn
  Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
  ☆77Updated 3 years ago
• ispc-lab / RSKDD-Net
  ☆36Updated 4 years ago
• MingyeXu / GS-Net
  Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
  ☆51Updated 5 years ago
• minzhang-1 / PointHop
  PointHop: An Explainable Machine Learning Method for Point Cloud Classification
  ☆22Updated 4 years ago
• wentaoyuan / it-net
  Implementation of Iterative Transformer Network for 3D Point Cloud
  ☆41Updated 4 years ago
• hkust-vgd / riconv
  Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
  ☆58Updated 5 years ago
• alitabet / morton-net
  PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and th…
  ☆21Updated 5 years ago
• erictuanle / GoingDeeperwPointNetworks
  This project releases the code for the Paper "Going Deeper with Point Networks"
  ☆59Updated 5 years ago
• XuyangBai / KPConv.pytorch
  PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889
  ☆67Updated 4 years ago
• cuge1995 / ECCV-2020-point-cloud-analysis
  ECCV 2020 papers focusing on point cloud analysis
  ☆22Updated 4 years ago
• OmidPoursaeed / Self_supervised_Learning_Point_Clouds
  Self-supervised Learning of Point Clouds via Orientation Estimation (3DV 2020)
  ☆16Updated 3 years ago
• lelouedec / 3DNetworksPytorch
  Implementation of Popular Deep Learning Network using pytorch
  ☆56Updated 4 years ago
• ToughStoneX / DGCNN
  a pytorch implimentation of Dynamic Graph CNN(EdgeConv)
  ☆78Updated 6 years ago
• wangyida / softpool
  SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral
  ☆77Updated 3 years ago
• goodbye61 / RI_l2g
  ☆33Updated 4 years ago
• davrempe / caspr
  Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"
  ☆71Updated 2 years ago
• cy69855522 / Geo-CNN-Pytorch-PYG
  A Pytorch Implementation of “Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN”
  ☆17Updated 4 years ago
• valeoai / LightConvPoint
  ☆66Updated 4 years ago
• hzykent / JSENet
  Implementation of ECCV2020 paper - JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
  ☆127Updated 4 years ago
• craigleili / 3DLocalMultiViewDesc
  End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds (CVPR2020)
  ☆60Updated 9 months ago
• xyf513 / SpiderCNN
  SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
  ☆71Updated 6 years ago
• akomarichev / a-cnn
  ☆47Updated 5 years ago
• voidrank / Geo-CNN
  ☆37Updated 4 years ago