yinjunbo / ProposalContrastLinks
This repository contains the PyTorch implementation of the ECCV'2022 paper, ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection.
☆58Updated 3 years ago
Alternatives and similar repositories for ProposalContrast
Users that are interested in ProposalContrast are comparing it to the libraries listed below
Sorting:
- GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds (CVPR 2023)☆126Updated 2 years ago
- Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"☆49Updated 3 years ago
- Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"☆81Updated 2 years ago
- Thie repo provides the official implementation of our AAAI-2023 paper “SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection …☆48Updated 2 years ago
- ☆15Updated 4 years ago
- ☆19Updated 4 years ago
- The official PyTorch implementation of "Exploring Active 3D Object Detection from a Generalization Perspective" (ICLR Spotlight 2023 & TP…☆64Updated last year
- [CVPR 2023] MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training☆47Updated 2 years ago
- ☆69Updated 3 years ago
- 3D cascade RCNN for object detection on point cloud☆33Updated 3 years ago
- [ICCV 2023] Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling☆48Updated 2 years ago
- [CVPR 2021] PyTorch implementation of 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.☆57Updated 3 years ago
- (NeurlPS 2022) Spatial Pruned Sparse Convolution for Efficient 3D Object Detection☆63Updated 2 years ago
- [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds☆75Updated 2 years ago
- Bridging lidar and text through image intermediaries☆99Updated last year
- ☆31Updated 6 months ago
- This repository is for CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection.☆26Updated 2 years ago
- Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"☆207Updated 7 months ago
- [NeurIPS2022] This is the official code of "CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds".☆97Updated 2 years ago
- (NeurlPS 2022) Towards Efficient 3D Object Detection with Knowledge Distillation☆123Updated 2 years ago
- Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"☆40Updated 10 months ago
- Official PyTorch implementation of the NeurIPS2022 paper "PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds"☆75Updated 2 years ago
- This is the code related to "Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Se…☆50Updated 4 years ago
- Voxel Field Fusion for 3D Object Detection (CVPR2022)☆101Updated 3 years ago
- ☆71Updated 3 years ago
- [ECCV 2022] LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection☆113Updated 2 years ago
- OpenPCDet with spconv package already included for one-step installation. Uses spconv & voxel CUDA ops from mmdetection3d repository.☆14Updated 3 years ago
- ALSO: Automotive Lidar Self-supervision by Occupancy estimation☆177Updated 2 years ago
- This is the official implementation of the paper - GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Trainin…☆74Updated 2 years ago
- Demo code for the paper: OccAM's Laser☆47Updated 2 years ago