valeoai / BEVContrastLinks
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation
☆80Updated last year
Alternatives and similar repositories for BEVContrast
Users that are interested in BEVContrast are comparing it to the libraries listed below
Sorting:
- [AAAI 2024] BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios☆76Updated 11 months ago
- PyTorch code and models for ScaLR image-to-lidar distillation method☆59Updated 5 months ago
- Bridging lidar and text through image intermediaries☆101Updated last year
- Multi-Space Alignments Towards Universal LiDAR Segmentation☆50Updated last year
- Source code for NeurIPS paper "POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images"☆113Updated 11 months ago
- ☆41Updated 2 years ago
- (ICRA 2023) Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection☆21Updated 2 years ago
- Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models (NeurIPS2024)☆41Updated last year
- 🔥(ECCV 2024 Oral) RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation☆47Updated 3 months ago
- [CVPR 2025] Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting☆25Updated 9 months ago
- ☆27Updated 2 years ago
- ☆24Updated last year
- ☆56Updated last year
- ☆101Updated 2 years ago
- [ECCV 2024 Oral] Official code of "Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather".☆60Updated last year
- [CVPR 2023] BEVGuide: BEV-Guided Multi-Modality Fusion for Driving Perception☆36Updated 2 years ago
- MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences (CVPR 2023)☆64Updated 2 years ago
- [TCSVT] DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction☆93Updated 2 months ago
- [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds☆75Updated 3 years ago
- ☆82Updated 2 years ago
- Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"☆91Updated 2 years ago
- [IROS 2023] SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion☆36Updated 2 years ago
- [IROS 2024]InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction☆30Updated last year
- High-res 3D Occupancy Dataset for Unified 3D Scene Understanding.☆29Updated last year
- Code for **Spatiotemporal Self-supervised Learning for Point Clouds in the Wild** (STSSL) CVPR2023☆49Updated last year
- (AAAI2024) Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving☆20Updated 2 years ago
- Is Your HD Map Constructor Reliable under Sensor Corruptions?☆37Updated last year
- Official Implementation for `LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment` (ICCV 2023)☆84Updated last year
- [IEEE RA-L] Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Predictio…☆72Updated last year
- [ECCV 2024] 4D Contrastive Superflows are Dense 3D Representation Learners☆48Updated 3 weeks ago