ldkong1205 / awesome-3d-daLinks
A curated list of awesome 3D domain adaptation resources
☆25Updated 3 years ago
Alternatives and similar repositories for awesome-3d-da
Users that are interested in awesome-3d-da are comparing it to the libraries listed below
Sorting:
- This is the code related to "Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Se…☆49Updated 3 years ago
- Official Pytorch implementation of the ECCV 2022 paper "GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segme…☆46Updated 2 years ago
- Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"☆49Updated 3 years ago
- Implementation of ECCV2022 paper - LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation☆32Updated 2 years ago
- [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds☆73Updated 2 years ago
- Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning☆24Updated 9 months ago
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 2 years ago
- (NeurlPS 2022) Spatial Pruned Sparse Convolution for Efficient 3D Object Detection☆63Updated 2 years ago
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation…☆64Updated last year
- This is the code related to "Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds" …☆38Updated 2 years ago
- [TMLR 2022] Geometric Flow Network for 3D Point Cloud Semantic Segmentation☆39Updated 2 years ago
- This repository contains the PyTorch implementation of the ECCV'2022 paper, ProposalContrast: Unsupervised Pre-training for LiDAR-based 3…☆57Updated 2 years ago
- Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"☆40Updated 5 months ago
- [TPAMI] Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation☆35Updated 2 years ago
- [ECCV 2022] LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection☆111Updated 2 years ago
- [ICCV 2023] Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling☆47Updated last year
- Code for "Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection"☆35Updated last year
- Official PyTorch implementation of the NeurIPS2022 paper "PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds"☆72Updated 2 years ago
- Code release for "Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception" [ICLR 2022]☆39Updated last month
- [CVPR2022] This is the official code of "RBGNet: Ray-based Grouping for 3D Object Detection".☆40Updated last year
- [AAAI 2022 Oral] Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection☆25Updated 2 years ago
- Implementation of "PG-RCNN: Semantic Surface Point Generation for 3D Object Detection" (ICCV 2023)☆33Updated last year
- Code for the paper "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds" (ICCV 2021)☆78Updated 3 years ago
- AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception, CVPR 2022.☆54Updated 2 years ago
- Official PyTorch implementation of the ICCV23 paper "Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentati…☆14Updated last year
- Public repository for the 3DV 2024 spotlight paper "SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation".☆39Updated 7 months ago
- ☆24Updated 2 years ago
- Code for **Spatiotemporal Self-supervised Learning for Point Clouds in the Wild** (STSSL) CVPR2023☆47Updated last year
- Repo of "MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds".☆39Updated last year
- [ECCV 2024 Oral] Official code of "Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather".☆54Updated 8 months ago