Alternatives and similar repositories for xmuda

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

• ouenal / scribblekitti
  Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)
  ☆151Updated 6 months ago
• CVMI-Lab / ST3D
  (CVPR 2021 & T-PAMI 2022) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection & ST3D++: Denoised Self-training…
  ☆303Updated 9 months ago
• yezhen17 / 3DIoUMatch
  [CVPR 2021] PyTorch implementation of 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.
  ☆158Updated 2 years ago
• hongfz16 / DS-Net
  [CVPR 2021/TPAMI 2023] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)
  ☆245Updated 3 years ago
• edwardzhou130 / Panoptic-PolarNet
  Implementation for Panoptic-PolarNet (CVPR 2021)
  ☆173Updated 4 years ago
• liruihui / PointAugment
  Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)
  ☆214Updated 4 years ago
• aim-uofa / DyCo3D
  ☆124Updated last year
• Na-Z / sess
  [CVPR2020 Oral] SESS: Self-Ensembling Semi-Supervised 3D Object Detection
  ☆138Updated 4 years ago
• cxy1997 / 3D_adapt_auto_driving
  Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
  ☆131Updated 2 years ago
• DeyvidKochanov-TomTom / kprnet
  ☆67Updated 3 years ago
• chenfengxu714 / SqueezeSegV3
  ☆231Updated 2 years ago
• canqin001 / PointDAN
  Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".
  ☆133Updated 4 years ago
• valeoai / SLidR
  Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"
  ☆199Updated 2 months ago
• hlesmqh / WS3D
  Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
  ☆126Updated 4 years ago
• MehmetAygun / 4D-PLS
  4D Panoptic Lidar Segmentation
  ☆154Updated 8 months ago
• yanx27 / JS3C-Net
  Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion (AAAI 2021)
  ☆217Updated 3 years ago
• qiqihaer / RandLA-Net-pytorch
  RandLA-Net's implementation with Pytorch
  ☆131Updated 4 years ago
• xiaoaoran / polarmix
  Official PyTorch implementation of the NeurIPS2022 paper "PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds"
  ☆71Updated last year
• plusmultiply / mprm
  Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
  ☆49Updated 4 years ago
• xiaoaoran / SemanticSTF
  (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds…
  ☆111Updated last year
• huixiancheng / CENet
  [ICME 2022] CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving
  ☆107Updated last year
• alex-xun-xu / WeakSupPointCloudSeg
  ☆113Updated 4 years ago
• Jasonkks / mlcnet
  Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"
  ☆49Updated 3 years ago
• yanx27 / 2DPASS
  2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022)
  ☆424Updated 2 years ago
• chenfengxu714 / YOGO
  Official implementation of YOGO for point-cloud processing
  ☆79Updated 3 years ago
• PRBonn / segcontrast
  ☆95Updated 10 months ago
• AutoVision-cloud / SA-Det3D
  [ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection
  ☆168Updated 3 years ago
• xiaoaoran / SynLiDAR
  SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)
  ☆135Updated last year
• deeptibhegde / AttentivePrototypeSFUDA
  Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"
  ☆40Updated 4 months ago
• haibo-qiu / GFNet
  [TMLR 2022] Geometric Flow Network for 3D Point Cloud Semantic Segmentation
  ☆39Updated 2 years ago