kumuji / stu_datasetLinks
[CVPR 2025] Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving
☆40Updated 3 weeks ago
Alternatives and similar repositories for stu_dataset
Users that are interested in stu_dataset are comparing it to the libraries listed below
Sorting:
- PyTorch code and models for ScaLR image-to-lidar distillation method☆58Updated 5 months ago
- [ECCV 2024 Oral] Official code of "Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather".☆59Updated last year
- BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation☆80Updated last year
- Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models (NeurIPS2024)☆41Updated last year
- ☆24Updated last year
- Multi-Space Alignments Towards Universal LiDAR Segmentation☆50Updated last year
- Unsupervised 3D Object Detection [NeurIPS 2024]☆39Updated 3 months ago
- The official implementation of "Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation" (CVPR 2024)☆28Updated last year
- Bridging lidar and text through image intermediaries☆101Updated last year
- Code for **Spatiotemporal Self-supervised Learning for Point Clouds in the Wild** (STSSL) CVPR2023☆49Updated last year
- DiffuBox: Refining 3D Object Detection with Point Diffusion☆17Updated 9 months ago
- Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"☆89Updated 2 years ago
- 🔥(ECCV 2024 Oral) RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation☆47Updated 3 months ago
- ☆100Updated 2 years ago
- [RA-L 2023] CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic Segmentation☆25Updated 2 years ago
- Public repository for the 3DV 2024 spotlight paper "SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation".☆38Updated last year
- [ECCV2024] Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance☆23Updated last year
- [NeurIPS 2025] OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection☆60Updated last year
- Code for "Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection"☆36Updated 2 years ago
- [CVPR2024] PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection☆76Updated last year
- ☆41Updated 2 years ago
- [CVPR 2023] BEVGuide: BEV-Guided Multi-Modality Fusion for Driving Perception☆35Updated 2 years ago
- official implement for 《LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data》☆19Updated 11 months ago
- This is the official implementation of "LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels" (Accepted at C…☆66Updated 6 months ago
- ☆52Updated last year
- [AAAI24]This is the implementation for the paper M-BEV: Masked BEV Perception for Robust Autonomous Driving☆40Updated last year
- MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences (CVPR 2023)☆64Updated 2 years ago
- Source code for NeurIPS paper "POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images"☆112Updated 11 months ago
- [AAAI 2024] BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios☆75Updated 11 months ago
- Official PyTorch implementation of the NeurIPS2022 paper "PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds"☆75Updated 2 years ago