runnanchen / Label-Free-Scene-UnderstandingLinks
☆50Updated last year
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☆59Updated 7 months ago
- (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds☆68Updated 2 years ago
- [CVPR 2023] MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training☆47Updated 2 years ago
- Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified O…☆108Updated last year
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 3 years ago
- ☆95Updated last year
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆55Updated last year
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated last year
- ☆51Updated last year
- [AAAI 2024] SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection☆42Updated last year
- official implement for 《LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data》☆18Updated 10 months ago
- [ECCV 2024] 4D Contrastive Superflows are Dense 3D Representation Learners☆47Updated 4 months ago
- [CVPR 2023] 3D Representation Learning via Foreground Aware Feature Contrast☆42Updated last year
- ☆82Updated 2 years ago
- Multi-Space Alignments Towards Universal LiDAR Segmentation☆48Updated last year
- Code for **Spatiotemporal Self-supervised Learning for Point Clouds in the Wild** (STSSL) CVPR2023☆49Updated last year
- [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds☆75Updated 2 years ago
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆71Updated 10 months ago
- [ECCV'24] Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene.☆38Updated last year
- officical code for ECCV 2024 paper "Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection"☆14Updated last year
- ☆52Updated 10 months ago
- [IJCV 2024] P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer☆86Updated last year
- [NeurIPS 2022] 4D Unsupervised Object Discovery☆56Updated last year
- ☆54Updated last year
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆33Updated last year
- [ICLR 2025] Official code of "Segment any 3D Object with Language"☆52Updated 2 weeks ago
- ☆181Updated 2 years ago
- Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"