CVMI-Lab / FS3D
(NeurlPS 2022) Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
☆55Updated last year
Related projects ⓘ
Alternatives and complementary repositories for FS3D
- Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified O…☆83Updated 3 months ago
- ☆85Updated 7 months ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated last year
- [CVPR2022] This is the official code of "RBGNet: Ray-based Grouping for 3D Object Detection".☆41Updated last year
- [NeurIPS2022] This is the official code of "CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds".☆93Updated last year
- Official implementation of the CVPR 2023 paper "Novel Class Discovery for 3D Point Cloud Semantic Segmentation"☆60Updated last year
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆46Updated 2 years ago
- [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”☆122Updated last year
- This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)☆23Updated last year
- Public repository of the 3DV 2021 paper "Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds"☆34Updated 2 years ago
- [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds☆71Updated last year
- ☆22Updated 2 years ago
- Official repository for TPAMI2024 "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"☆50Updated last year
- ☆52Updated last year
- This repository contains the PyTorch implementation of the ECCV'2022 paper, ProposalContrast: Unsupervised Pre-training for LiDAR-based 3…☆54Updated 2 years ago
- ☆157Updated last year
- ☆15Updated 8 months ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆40Updated 3 months ago
- This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).☆34Updated 5 months ago
- Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation…☆61Updated 7 months ago
- [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation☆86Updated 7 months ago
- (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds☆63Updated last year
- Code for the paper "Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds"☆74Updated last year
- ☆45Updated 11 months ago
- [ICLR 2024] This is the official code of the paper "V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection"☆92Updated 7 months ago
- [IJCV 2024] P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer☆77Updated 7 months ago
- This is the official implementation of "Clustering based Point Cloud Representation Learning for 3D Analysis" (Accepted at ICCV 2023).☆32Updated 8 months ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆46Updated 6 months ago
- CVPR2023 : VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud☆66Updated 4 months ago
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆126Updated last year