runnanchen / Label-Free-Scene-UnderstandingLinks
☆49Updated 2 years ago
Alternatives and similar repositories for Label-Free-Scene-Understanding
Users that are interested in Label-Free-Scene-Understanding are comparing it to the libraries listed below
Sorting:
- [WACV 2025 Oral] Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding☆60Updated 9 months ago
- [CVPR 2023] MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training☆46Updated 2 years ago
- Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified O…☆114Updated last year
- (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds☆68Updated 2 years ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆57Updated last year
- ☆51Updated 2 years ago
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 3 years ago
- ☆95Updated last year
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated last year
- [CVPR 2023] 3D Representation Learning via Foreground Aware Feature Contrast☆42Updated last year
- officical code for ECCV 2024 paper "Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection"☆14Updated last year
- [NeurIPS 2022] 4D Unsupervised Object Discovery☆56Updated 2 years ago
- Multi-Space Alignments Towards Universal LiDAR Segmentation☆50Updated last year
- official implement for 《LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data》☆19Updated 11 months ago
- [AAAI 2024] SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection☆43Updated last year
- [ICLR 2025] Official code of "Segment any 3D Object with Language"☆53Updated last month
- ☆82Updated 2 years ago
- ☆52Updated last year
- Code for **Spatiotemporal Self-supervised Learning for Point Clouds in the Wild** (STSSL) CVPR2023☆49Updated last year
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆72Updated last year
- [ECCV 2024] 4D Contrastive Superflows are Dense 3D Representation Learners☆46Updated 5 months ago
- [CVPR 2024] GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding☆44Updated last year
- [IJCV 2024] P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer☆85Updated last year
- Bridging lidar and text through image intermediaries☆101Updated last year
- ☆182Updated 2 years ago
- The official implementation of "PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning" (CVPR 2025)☆27Updated last month
- Implementation of ECCV2022 paper - LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation☆34Updated 3 years ago
- [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds☆75Updated 2 years ago
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆72Updated 2 years ago
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).☆43Updated last year