Alternatives and similar repositories for SageMix:

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

• mlvlab / PointWOLF
  Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021
  ☆38Updated 3 years ago
• mmmmimic / diffConvNet
  PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV'22)
  ☆28Updated last year
• VITA-Group / MLSP
  [ECCV 2022] "Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction" by Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tian…
  ☆18Updated last year
• LifeBeyondExpectations / ECCV22-PointMixer
  [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"
  ☆103Updated last year
• zou-longkun / GAST
  ☆24Updated 2 years ago
• linhaojia13 / PointMetaBase
  This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"
  ☆93Updated 2 years ago
• yahuiliu99 / PointConT
  Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"
  ☆36Updated last year
• diegovalsesia / HyCoRe
  Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)
  ☆26Updated 2 years ago
• VinAIResearch / GeoFormer
  Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)
  ☆30Updated 4 months ago
• XiwuChen / PRA-Net
  The source code of PRA-Net.
  ☆25Updated 3 years ago
• dogyoonlee / RSMix
  [CVPR 2021 - Official] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples
  ☆31Updated 3 years ago
• townim-faisal / FSCIL-3D
  [ECCV 2022] Few-shot class incremental learning on 3D point clouid objects
  ☆27Updated 2 years ago
• LiyaoTang / ERDA
  All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)
  ☆28Updated last year
• dogyoonlee / pointcloud_visualizer
  Visualization tool for point cloud and feature extracted from deep learning network
  ☆21Updated 3 years ago
• ZhanHeshen / PointCMT
  [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
  ☆74Updated 2 years ago
• wangzy22 / TAP
  [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
  ☆40Updated 8 months ago
• mlvlab / SPoTr
  Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).
  ☆103Updated 3 months ago
• diviswen / Cycle4Completion
  ☆34Updated 3 years ago
• JunweiZheng93 / APES
  Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023
  ☆110Updated this week
• DBDXSS / Window-Normalization
  ☆28Updated 5 months ago
• jiajingchen113322 / Recycle_Maxpooling_Module
  This is the implementation of Recycle Maxpooling Module for Point Cloud Analysis
  ☆18Updated 2 years ago
• haibo-qiu / CDFormer
  Code for "Collect-and-Distribute Transformer for 3D Point Cloud Analysis"
  ☆15Updated last year
• guochengqian / ASSANet
  [NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
  ☆35Updated 2 years ago
• CVMI-Lab / DODA
  (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
  ☆49Updated 2 years ago
• jmiemirza / MATE
  MATE: Masked Autoencoders are Online 3D Test-Time Learners (ICCV 2023)
  ☆21Updated last year
• liuzhengzhe / One-Thing-One-Click
  https://arxiv.org/abs/2104.02246 One Thing One Click (CVPR 2021) https://arxiv.org/abs/2303.14727 One Thing One Click++ (Arxiv)
  ☆55Updated last year
• FuchenUSTC / PointClustering
  ☆25Updated last year
• LuigiRiz / NOPS
  Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"
  ☆62Updated last year
• rhtm02 / PU-Transformer
  Unofficial Implement PU-Transformer
  ☆17Updated 2 years ago
• gfmei / SoftClu
  Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
  ☆19Updated last year