xiaodongww's Stars
mindspore-ai/mindspore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
CVMI-Lab/ST3D
(CVPR 2021 & T-PAMI 2022) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection & ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
xingyizhou/UniDet
Object detection on multiple datasets with an automatically learned unified label space.
ferjad/3DCZSL
3DCZSL with DeCompositional Consensus @ ECCV2022
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
charlesq34/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
RozDavid/LanguageGroundedSemseg
Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild
JonasSchult/Mask3D
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
CVMI-Lab/DODA
(ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
sshaoshuai/Pointnet2.PyTorch
A faster implementation of PointNet++ based on PyTorch.
thuml/A-Roadmap-for-Transfer-Learning
cangumeli/ROCA
Official code for ROCA: Robust CAD Model Retrieval and Alignment from a Single Image (CVPR 2022)
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
VinAIResearch/GeoFormer
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)
allenai/procthor
🏘️ Scaling Embodied AI by Procedurally Generating Interactive 3D Houses
OpenDriveLab/Birds-eye-view-Perception
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
canqin001/PointDAN
Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".
tusen-ai/SST
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
Karbo123/segmentator
Segmentator for clustering on meshes or pointclouds
chrischoy/FCGF
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
HaochengWan/PVT
PVT: Point-Voxel Transformer for 3D Deep Learning
engelnico/point-transformer
This is the official repository of the original Point Transformer architecture.
qq456cvb/Point-Transformers
Point Transformers
corenel/pytorch-adda
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
wasidennis/AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
drprojects/DeepViewAgg
[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
ma-xu/pointMLP-pytorch
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
yanx27/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
DIYer22/bpycv
Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)